Collected audio display method and device, equipment and medium

Abstract

The invention discloses a collected audio display method and device, equipment and a medium, and belongs to the technical field of classification. The method comprises the steps that at least one classification image is displayed, the at least one classification image is an audience portrait obtained by clustering a plurality of collected audios in a collected audio list of a first account, and the at least one classification image comprises a first classification image; in response to a first interaction operation for the first classified image, a first audio list is displayed, the first audio list including at least one favorite audio belonging to the first classified image, the at least one favorite audio being a subset of the plurality of favorite audios. According to the scheme, the classified image is displayed, so that the collected audio of the first account is classified based on the classified image, the display mode of the collected audio is enriched, and audiences can conveniently search for the corresponding collected audio based on the classified image.

Description

Technical Field

[0001] The embodiments of the present application belong to the field of classified technology, and in particular, relate to a method, device, equipment and medium for displaying collected audio. Background Art

[0002] With the development of multimedia information technology and the continuous improvement of public entertainment needs, users can collect some of the multimedia information in a large amount of multimedia information according to their own preferences, so as to facilitate quick search later. For example, when listening to a song, the audience can collect the audio they like.

[0003] However, when the amount of multimedia information collected by users increases, if users want to find certain multimedia information from a large amount of collected multimedia information, a large number of human-computer interaction operations are required, which is relatively cumbersome. Summary of the invention

[0004] The present application provides a method, device, equipment and medium for displaying collected audio, and the technical solution is as follows:

[0005] According to one aspect of the present application, a method for displaying favorite audio is provided, the method comprising:

[0006] Displaying at least one classification image, wherein the at least one classification image is a listener portrait obtained by clustering a plurality of favorite audios in the favorite audio list of the first account, and the at least one classification image includes a first classification image;

[0007] In response to a first interactive operation on the first classification image, a first audio list is displayed, wherein the first audio list includes at least one favorite audio belonging to the first classification image, and the at least one favorite audio is a subset of the multiple favorite audios.

[0008] According to another aspect of the present application, a device for displaying audio collection is provided, the device comprising:

[0009] A display module, configured to display at least one classification image, wherein the at least one classification image is a listener portrait obtained by clustering a plurality of favorite audios in the favorite audio list of the first account, and the at least one classification image includes a first classification image;

[0010] The display module is also used to display a first audio list in response to a first interactive operation on the first classification image, wherein the first audio list includes at least one favorite audio belonging to the first classification image, and the at least one favorite audio is a subset of the multiple favorite audios.

[0011] According to one aspect of the present application, a computer device is provided, comprising: a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the method for displaying favorite audio as described above.

[0012] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and the computer program is loaded and executed by a processor to implement the method for displaying favorite audio as described above.

[0013] According to another aspect of the present application, a computer program product is provided, the computer program product comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for displaying the favorite audio provided in the above aspect.

[0014] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0015] By displaying at least one classification image, the favorite audios in the favorite audio list of the first account can be classified based on the at least one classification image. For example, the first audio list in the favorite audio list of the first account corresponds to the first classification image, and the first audio list includes at least one favorite audio. Since the first audio list is a subset of the favorite audio list of the first account, the first audio list is classified from the favorite audio list of the first account based on the first classification image.

[0016] In addition, by displaying at least one classification image, the audience portrait corresponding to the first account is vividly displayed, enriching the display method of favorite audios, so that favorite audios can be displayed not only in the form of an audio list, but also in the form of a classification image. The audience can find the corresponding favorite audio based on the classification image, which makes the operation more convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A structural block diagram of a computer system provided by an exemplary embodiment of the present application is shown;

[0019] Figure 2A flowchart of a method for displaying favorite audio provided by an exemplary embodiment of the present application is shown;

[0020] Figure 3 A schematic diagram showing a method for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0021] Figure 4 A schematic diagram showing a method for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0022] Figure 5 A schematic diagram showing a method for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0023] Figure 6 A flowchart of a method for displaying favorite audio provided by an exemplary embodiment of the present application is shown;

[0024] Figure 7 A schematic diagram showing a method for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0025] Figure 8 A schematic diagram showing a method for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0026] Fig. 9 A flowchart of a method for displaying favorite audio provided by an exemplary embodiment of the present application is shown;

[0027] Fig.10 A flowchart of a method for displaying favorite audio provided by an exemplary embodiment of the present application is shown;

[0028] Fig.11 A schematic diagram showing a method for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0029] Fig.12 A flowchart of a method for displaying favorite audio provided by an exemplary embodiment of the present application is shown;

[0030] Fig.13 A flowchart of a method for displaying favorite audio provided by an exemplary embodiment of the present application is shown;

[0031] Fig.14 A structural block diagram of a device for displaying audio collections provided by an exemplary embodiment of the present application is shown;

[0032] Fig.15 A structural block diagram of a computer device provided by an exemplary embodiment of the present application is shown. DETAILED DESCRIPTION

[0033] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0034] It should be understood that the "several" mentioned in this article refers to one or more, and "multiple" refers to two or more. "And / or" describes the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0035] First, the nouns involved in the embodiments of the present application are briefly introduced:

[0036] Classification image: It can be understood as a virtual image, or IP image, which refers to an image that can represent a product or category. It is mostly an animal image or a virtual animation image, such as a virtual game character in a game, a virtual cartoon image in anime, etc.

[0037] Favorite audio: refers to the audio that has been favorited by the listener. For example, suppose an audio list includes audio 1 and audio 2. The listener has not favorited audio 1, but has favorited audio 2. Then audio 2 is the favorite audio, while audio 1 is not the favorite audio (or non-favorite audio).

[0038] Figure 1 The structure block diagram of a computer system provided by an exemplary embodiment of the present application is shown. The computer system 100 includes: a terminal 120 and a server 140 .

[0039] The terminal 120 is installed and runs a display platform that supports the display of multimedia information. Optionally, the multimedia information includes at least one of text, images, music, and video. Exemplarily, taking the multimedia information being music as an example, the terminal 120 is installed and runs a music platform. In some embodiments, a first listener account corresponding to the first listener is logged into the display platform, and the first listener can perform operations such as likes, comments, favorites, and shares on the display platform. Or it can be understood that the terminal 120 is a terminal used by the first listener, and the first listener can install and run a display platform that supports the display of multimedia information on the terminal 120, and perform human-computer interaction on the display platform. Exemplarily, such as Figure 1As shown, the first listener collects the target audio by clicking the collection control 10 corresponding to the target audio. In response to the triggering operation on the collection control 10 corresponding to the target audio, the terminal 120 switches the collection control 10 from the first display state to the second display state.

[0040] The terminal 120 is connected to the server 140 via a wireless network or a wired network.

[0041] The server 140 includes at least one of a single server, multiple servers, a cloud computing platform, and a virtualization center. Exemplarily, the server 140 includes a processor 144 and a memory 142, and the memory 142 includes a receiving module 1421, a control module 1422, and a sending module 1423. The receiving module 1421 is used to receive a request sent by the display platform; the control module 1422 is used to control the stable operation of the display platform; and the sending module 1423 is used to send a response to the display platform. In some possible embodiments, the receiving module 1421 and the sending module 1423 can also be combined and implemented as a transceiver module.

[0042] The server 140 is used to provide background services for the display platform supporting the display of multimedia information. Optionally, the server 140 undertakes the main computing work and the terminal 120 undertakes the secondary computing work; or, the server 140 undertakes the secondary computing work and the terminal 120 undertakes the main computing work; or, the server 140 and the terminal 120 undertake the computing work in a collaborative manner.

[0043] In some embodiments, the device type of the terminal 120 includes at least one of a smart phone, a smart watch, a vehicle-mounted terminal, a wearable device, a smart TV, a tablet computer, an e-book reader, an MP3 player, an MP4 player, a laptop computer, and a desktop computer. The following embodiments are illustrated by taking the terminal including a smart phone as an example.

[0044] Those skilled in the art will appreciate that the number of the above terminals may be more or less. For example, the above terminal may be only one, or the above terminals may be dozens or hundreds, or more. The embodiment of the present application does not limit the number of terminals and device types.

[0045] Figure 2 is a flowchart of a method for displaying audio collections provided by an exemplary embodiment of the present application. The method comprises Figure 1 The terminal 120 shown executes the method, which includes:

[0046] Step 220: Display at least one classification image;

[0047] In some embodiments, in response to a viewing operation on the favorite audio list of the first account, at least one classification image is displayed. At least one classification image is a listener portrait obtained by clustering multiple favorite audios in the favorite audio list of the first account. Exemplarily, assuming that the favorite audio list of the first account includes classical audio and popular audio, in response to a viewing operation on the favorite audio list of the first account, classification image 1 and classification image 2 are displayed. Among them, classification image 1 is obtained based on the classical audio in the favorite audio list of the first account, and classification image 2 is obtained based on the popular audio in the favorite audio list of the first account.

[0048] In some embodiments, at least one classification profile is determined based on at least one of the following:

[0049] The audio tag corresponding to the favorite audio in the favorite audio list;

[0050] The audience behavior of the first audience corresponding to the first account;

[0051] Audience portrait of the first audience.

[0052] In some embodiments, at least one classification image is determined based on the audio tags corresponding to the favorite audio in the favorite audio list of the first account. Optionally, the audio tags include at least one of the following: style tag; language tag; era tag; emotion tag; scene tag; rhythm tag. It should be noted that in some other possible embodiments, the above audio tags may also include more other types, or the above audio tags may also be subdivided into more other types, which is not limited in the embodiments of the present application.

[0053] In some embodiments, the style tag is used to indicate the style corresponding to the collected audio, such as pop style, classical style, jazz style, rock style, Latin style, folk style, country style, etc.

[0054] In some embodiments, the language tag is used to indicate the language corresponding to the favorite audio, such as Chinese, English, Japanese, Korean, French, German, Russian, etc.

[0055] In some embodiments, the era tag is used to indicate the release time corresponding to the collection audio, or to indicate the era corresponding to the scene depicted by the collection audio, for example, the 1980s, 2000, 2024, etc.

[0056] In some embodiments, the emotional tag is used to indicate the emotional atmosphere or emotional state corresponding to the collected audio, such as happy, sad, romantic, nervous, angry, relaxed, lively, nostalgic, melancholy, inspiring, etc.

[0057] In some embodiments, the scene tag is used to indicate the occasion or environment described by the collected audio, such as a learning scene, a travel scene, a wedding scene, a work scene, etc.

[0058] In some embodiments, the tempo tag is used to collect the beat and speed corresponding to the audio, such as fast tempo, slow tempo, slow tempo, etc.

[0059] In some embodiments, at least one classification image is determined based on the audience behavior of the first audience corresponding to the first account. Optionally, the audience behavior includes at least one of the following: browsing time period; browsing frequency; duration. It should be noted that in some other possible embodiments, the above-mentioned audience behavior may also include more other types, or the above-mentioned audience behavior may also be subdivided into more other types, which is not limited in the embodiments of the present application.

[0060] In some embodiments, the browsing time period refers to the time period when the first listener browses the collected audio, such as early morning, afternoon, evening, midnight, etc.

[0061] In some embodiments, the browsing frequency refers to the frequency at which the first listener browses the collected audio, for example, once an hour, once half a day, once a day, and so on.

[0062] In some embodiments, the duration refers to the duration of each time the first listener browses the favorite audio, for example, one hour, half a day, one day, etc.

[0063] In some embodiments, at least one classification image is determined based on the audience portrait of the first listener corresponding to the first account. In a possible embodiment, in response to a viewing operation of the favorite audio list of the first account, the audience portrait of the first listener is obtained. Based on the audience portrait of the first listener, at least one classification image is determined and displayed. It is understandable that at least one classification image is determined based on the real image of the first listener.

[0064] In some embodiments, at least one classification image is determined from a predetermined list of classification images, wherein the predetermined list of classification images includes all classification images, each classification image corresponds to one or more audio tags, and / or each classification image corresponds to one or more listener behaviors.

[0065] In some embodiments, at least one classification image is determined based on a classification model. The input of the classification model is at least one collection of audio, and the output is at least one classification image. In some embodiments, the classification model is an artificial intelligence (AI) model. The classification model is pre-trained with a sample training set. The sample training set includes at least one sample audio, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained classification model capable of outputting an accurate classification image is obtained.

[0066] In some embodiments, when at least one classification image includes two or more classification images, at least one classification image is displayed on the same display interface. Figure 3 As shown, the first classification image 11 and the second classification image 12 are displayed in the form of a list on the same display interface. It should be noted that the embodiment of the present application does not limit the display method of two or more classification images on the same display interface. For example, the first classification image 11 and the second classification image 12 can also be displayed in the form of a table on the same display interface.

[0067] In some embodiments, when at least one classification image includes two or more classification images, in response to a switching operation on at least one classification image, a target classification image is switched for display. The target classification image is one of the at least one classification image. Optionally, the switching operation on at least one classification image includes a left-right sliding operation or an up-down sliding operation.

[0068] In some embodiments, at least one classification image is switched based on a switching control trigger. In response to a trigger operation on the switching control, the at least one classification image is switched to display. Optionally, the switching control includes a left-right switching control or an up-down switching control. For example, Figure 4 As shown, in response to a trigger operation on the right switch control 13 , the first classification image 11 is switched to the second classification image 12 .

[0069] In some embodiments, the number of at least one classification image is greater than or equal to a first quantity threshold. In one possible embodiment, the first quantity threshold is preset in advance. For example, the first quantity threshold is preset in advance to 5, then when the number of at least one classification image is greater than or equal to 5, at least one classification image is displayed. When the number of at least one classification image is less than 5, at least one classification image is not displayed. In another possible embodiment, the first quantity threshold can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the first quantity threshold according to preferences or needs. This is helpful to avoid too few classification images, resulting in failure to meet the selection needs of the first listener.

[0070] In some embodiments, the number of at least one classification image is within a quantity range. In one possible embodiment, the quantity range is preset in advance. For example, the preset quantity range is 5-10, then when the number of at least one classification image is greater than or equal to 5 and less than or equal to 10, at least one classification image is displayed. When the number of at least one classification image is less than 5 or greater than 10, at least one classification image is displayed. In another possible embodiment, the quantity range can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the quantity range according to preferences or needs. Not only can it avoid the situation where the number of classification images is too small, resulting in the inability to meet the selection needs of the first listener; it can also avoid the situation where the number of classification images is too large, causing the first listener to be troubled when selecting the target classification image.

[0071] In some embodiments, based on at least one of the audio tags corresponding to the favorite audio in the favorite audio list, the listener behavior of the first listener corresponding to the first account, and the listener portrait of the first listener, clustering generates at least one classification image. Optionally, based on at least one of the audio tags corresponding to the favorite audio in the favorite audio list, the listener behavior of the first listener corresponding to the first account, and the listener portrait of the first listener, the first clustering generates a first classification image set, and the first classification image set includes at least one classification image. When the number of classification images in the first classification image set is not within the quantity range, the second iteration generates a second classification image set. Repeat the iteration multiple times until the number of classification images in the nth classification image set generated by the nth iteration is within the quantity range, then stop the iteration, and use the classification image in the nth classification image set as the display image. The value of n is a positive integer. It should be understood that each iteration process can be understood as a clustering process based on at least one of the audio tags corresponding to the favorite audio in the favorite audio list, the listener behavior of the first listener corresponding to the first account, and the listener portrait of the first listener, but each iteration is different. For example, the first iteration is based on 5 audio tags corresponding to the favorite audios in the favorite audio list, and the second iteration is based on 10 audio tags corresponding to the favorite audios in the favorite audio list.

[0072] In some embodiments, the i-th iteration clustering obtains a first number of cluster centers, and the i+1-th iteration merges the j cluster centers with the smallest distance among the first number of cluster centers to obtain a second number of cluster centers, where the second number is less than the first number. The value of i is a positive integer, and the value of j is a positive integer less than or equal to the first number. When the second number is within the expected number range, the iteration is stopped.

[0073] In some embodiments, the number of classification keywords corresponding to each classification image in at least one classification image is greater than or equal to a second quantity threshold. In one possible embodiment, the second quantity threshold is preset in advance. For example, if the second quantity threshold is preset to 5, the number of classification keywords corresponding to each classification image in at least one classification image is greater than or equal to 5. If the number of classification keywords corresponding to the first classification image is less than 5, the first classification image does not belong to at least one classification image to be displayed. In another possible embodiment, the second quantity threshold can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the second quantity threshold according to preference or need.

[0074] In some embodiments, the at least one classification image includes a first classification image.

[0075] Step 240: In response to a first interactive operation on the first classification image, display a first audio list.

[0076] In some embodiments, the first interactive operation for the first classification image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the first interactive operation for the first classification image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0077] In some embodiments, the first audio list includes at least one favorite audio belonging to the first classification image, and the at least one favorite audio is a subset of multiple favorite audios. Or it can be understood that the first audio list is an audio list corresponding to the first classification image, and the first audio list is a subset of the favorite audio list of the first account. For example, assuming that the favorite audio list of the first account includes {Favorite Audio 1, Favorite Audio 2, Favorite Audio 3}, the first audio list corresponding to the first classification image is {Favorite Audio 1, Favorite Audio 2}, where {Favorite Audio 1, Favorite Audio 2} is a subset of {Favorite Audio 1, Favorite Audio 2, Favorite Audio 3}.

[0078] In some embodiments, in response to a first interactive operation on a first classification image, or in response to a selection operation on a first classification image among multiple classification images, a first audio list corresponding to the first classification image is displayed. Figure 5 As shown, in response to a selection operation on the first classification image 11, a first audio list 14 corresponding to the first classification image 11 is displayed.

[0079] In summary, the solution provided in the embodiment of the present application enables the favorite audios in the favorite audio list of the first account to be classified based on at least one classification image by displaying at least one classification image. For example, the first audio list in the favorite audio list of the first account corresponds to the first classification image, and the first audio list includes at least one favorite audio. Since the first audio list is a subset of the favorite audio list of the first account, the first audio list is classified out of the favorite audio list of the first account based on the first classification image.

[0080] In addition, by displaying at least one classification image, the audience portrait corresponding to the first account is vividly displayed, enriching the display method of favorite audios, so that favorite audios can be displayed not only in the form of an audio list, but also in the form of a classification image. The audience can find the corresponding favorite audio based on the classification image, which makes the operation more convenient.

[0081] In some embodiments, in the above Figure 2 In the case of the embodiment shown as the basic embodiment, before the above step 220, as Figure 6 As shown, the method also includes:

[0082] Step 211: Display the favorite audio list and image opening control of the first account;

[0083] In some embodiments, the favorite audio list of the first account includes at least one favorite audio. The favorite audio list of the first account can be understood as an unclassified original favorite audio list. It should be understood that the favorite audio list of the first account may include a large number of favorite audios, which may not be displayed in one interface. Displaying the favorite audio list of the first account here refers to displaying all the favorite audios of the first account in the form of a list. Only part of the favorite audio may be displayed on the current display page. For example, Figure 7 As shown, the favorite audio list 16 of the first account is displayed. The favorite audio list 16 includes 100 favorite audios, but only 3 favorite audios are displayed on the current page. In some embodiments, the first listener corresponding to the first account can browse all the favorite audios by browsing the favorite audio list of the first account. For example, Figure 7 As shown, in response to the up and down sliding operation on the favorite audio list 16 of the first account, other favorite audios in the favorite audio list 16 are displayed by sliding.

[0084] In some embodiments, the image opening control is a control for triggering the opening or generation of a classification image. In some embodiments, the image opening control is displayed synchronously with the favorite audio list of the first account. For example, while displaying the favorite audio list of the first account, the image opening control is displayed. In some embodiments, the image opening control is displayed when the display conditions are met. For example, when the favorite audio list of the first account is displayed, and all the favorite audios in the favorite audio list of the first account meet the requirements for clustering to generate a classification image, the image opening control is displayed. It should be noted that the display method of the image opening control is not limited in the embodiments of the present application. For example, the image opening control may be a rectangular control, a circular control, a triangular control, or the like. For another example, the image opening control may be displayed in the form of a floating window.

[0085] In some embodiments, the image opening control is displayed when the opening condition is met. Or it can be understood that the image opening control is displayed when the opening condition is met. Optionally, the opening condition includes: the first number is greater than or equal to the third number threshold, and the first number is the number of favorite audios in the favorite audio list of the first account. That is, when the number of favorite audios in the favorite audio list of the first account is greater than or equal to the third number threshold, the image opening control is displayed. In one possible embodiment, the third number threshold is preset in advance. For example, the third number threshold is preset in advance to 100, and the image opening control is displayed when the number of favorite audios in the favorite audio list of the first account is greater than or equal to 100. In another possible embodiment, the third number threshold can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the third number threshold according to preference or demand. When the first number is large enough, turning on the image opening control is conducive to ensuring that at least one classification image generated based on the image opening control is more in line with the first listener.

[0086] Step 212: In response to a trigger operation for opening an image control, generate at least one classification image.

[0087] In some embodiments, the triggering operation for opening the image control includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the triggering operation for opening the image control includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of the present application. For example, Figure 7 As shown, in response to a trigger operation on the image opening control 15, at least one classification image is generated.

[0088] In some embodiments, at least one classification image is a listener portrait obtained by clustering multiple favorite audios in the favorite audio list of the first account. Exemplarily, assuming that the favorite audio list of the first account includes classical audio and popular audio, in response to a trigger operation for the image opening control, classification image 1 and classification image 2 are generated. Classification image 1 is obtained based on the classical audio in the favorite audio list of the first account, and classification image 2 is obtained based on the popular audio in the favorite audio list of the first account.

[0089] In some embodiments, at least one classification profile is determined based on at least one of the following:

[0090] The audio tag corresponding to the favorite audio in the favorite audio list;

[0091] The audience behavior of the first audience corresponding to the first account;

[0092] Audience portrait of the first audience.

[0093] For the specific implementation, please refer to the introduction in the above step 220 .

[0094] It should be noted that the display method of the at least one generated classification image is not limited in the embodiment of the present application. For example, the at least one classification image can be displayed in the form of an image mask. The above step 212 can also be replaced by the following sub-steps:

[0095] Step 2121: In response to a trigger operation for an image opening control, generate at least one image mask.

[0096] In some embodiments, each image mask in the at least one image mask corresponds to a classification image in the at least one classification image.

[0097] In some embodiments, when at least one image mask includes two or more image masks, in response to a switching operation on at least one image mask, a target image mask is switched for display. The target image mask is one of the at least one image mask. Optionally, the switching operation on at least one image mask includes a left-right sliding operation or an up-down sliding operation.

[0098] In some embodiments, at least one image mask is switched based on a switch control trigger. In response to a trigger operation on the switch control, at least one image mask is switched and displayed. Optionally, the switch control includes a left-right switch control or an up-down switch control.

[0099] For example, Figure 8As shown, in response to the trigger operation for the image opening control, the first image mask 21, the second image mask 22 and the third image mask 23 are generated. Among them, the first image mask 21 corresponds to the first classification image, the second image mask 22 corresponds to the second classification image, and the third image mask 23 corresponds to the third classification image. When the first listener corresponding to the first account selects the first image mask 21 as the target image mask, that is, the first listener selects the first classification image as the display image.

[0100] In summary, the solution provided by the embodiment of the present application enables the first listener corresponding to the first account to choose whether to generate a classification image according to needs by displaying the image opening control. For example, when the first listener needs or is willing to generate a classification image, the image opening control can be triggered; when the first listener does not need or is unwilling to generate a classification image, the image opening control is not triggered.

[0101] In addition, at least one classification image can also be displayed by an image mask. Without affecting the display effect of the current interface, the first listener can select the target classification image by selecting the target image mask, and then display the corresponding display interface according to the determined target classification image.

[0102] In some embodiments, in the above Figure 2 In the case of the embodiment shown as the basic embodiment, after the above step 220 and before step 240, as Fig. 9 As shown, the method also includes:

[0103] Step 231: In response to a screening operation on at least one classification image, selecting a first classification image from the at least one classification image;

[0104] In some embodiments, the filtering operation for at least one classified image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the filtering operation for at least one classified image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0105] In some embodiments, when the favorite audio list of the first account corresponds to one or more classification images, the first listener corresponding to the first account can select the most suitable or favorite classification image as the display image through screening. For example, assuming that the favorite audio list of the first account includes classical audio and popular audio, the two classification images generated are the classical image and the popular image. However, if the first listener feels that the classical image is more in line with his appearance or personality, the first listener can select the classical image as the display image.

[0106] Step 232: Display the first classification image.

[0107] In some embodiments, after the first audience selects the first classification image from at least one classification image as the display image, only the first classification image is displayed. It should be understood that when at least one classification image includes two or more classification images, the classification images other than the first classification image can be hidden or no longer displayed (or can be understood as deleted and need to be regenerated before being displayed).

[0108] In summary, the solution provided in the embodiment of the present application enables the first listener corresponding to the first account to select a suitable classification image for display through screening. The first listener has a high degree of freedom of choice, which is conducive to improving the matching degree between the first listener and the first classification image.

[0109] Fig.10 is a flowchart of a method for displaying audio collections provided by an exemplary embodiment of the present application. The method comprises Figure 1 The terminal 120 shown executes the method, which includes:

[0110] Step 320: In response to a second interactive operation on the first classification image, display at least one classification keyword corresponding to the first classification image;

[0111] In some embodiments, the second interactive operation for the first classification image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the second interactive operation for the first classification image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0112] In some embodiments, each classification image corresponds to at least one classification keyword. For example, assuming that the favorite audio list of the first account corresponds to classification image 1 and classification image 2, classification image 1 corresponds to at least one classification keyword, and classification image 2 corresponds to at least one classification keyword. In some embodiments, different classification images correspond to different classification keywords, such as classification image 1 corresponds to {classification keyword 1, classification keyword 2}, and classification image 2 corresponds to {classification keyword 3, classification keyword 4}. In some embodiments, different classification images can correspond to the same classification keyword, such as classification image 1 corresponds to {classification keyword 1, classification keyword 2}, and classification image 2 corresponds to {classification keyword 2, classification keyword 3}.

[0113] In some embodiments, at least one of the classification keywords corresponding to the first classification image includes the first keyword. Fig.11As shown, the first classification image 11 corresponds to at least one classification keyword 17 .

[0114] In some embodiments, in response to a second interactive operation on a first classification image, a first classification summary corresponding to the first classification image is displayed. In some embodiments, the classification summary corresponding to each classification image is determined based on a first model. The input of the first model is at least one classification keyword, and the output is a classification summary. For example, at least one classification keyword corresponding to the first classification image is input into the first model, and the first classification summary corresponding to the first classification image is output. In some embodiments, the first model is an AI model. The first model is pre-trained with a sample training set. The sample training set includes at least one sample keyword, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained first model capable of outputting an accurate classification summary is obtained.

[0115] In some embodiments, the first model is a large language model.

[0116] Step 340: In response to a viewing operation on the first keyword, display a first audio classification sub-list corresponding to the first keyword.

[0117] In some embodiments, the viewing operation for the first keyword includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the viewing operation for the first keyword includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0118] In some embodiments, the first audio classification sublist is a subset of the first audio list. It should be understood that the first audio classification sublist is an audio classification list corresponding to the first keyword. In the case where the first classification image corresponds to multiple classification keywords, each classification keyword corresponds to an audio classification list. Fig.11 As shown, the first classification image 11 corresponds to the first keyword {brilliant}, the second keyword {trendy}, and the third keyword {full of energy}. In response to the viewing operation for the first keyword, the first audio classification sublist corresponding to the first keyword is displayed. In response to the viewing operation for the second keyword, the second audio classification sublist corresponding to the second keyword is displayed. In response to the viewing operation for the third keyword, the third audio classification sublist corresponding to the third keyword is displayed.

[0119] In some embodiments, the first audio classification sublist includes at least one audio sublist, and each audio sublist in the at least one audio sublist includes at least one favorite audio. Each audio sublist is a subset of the first audio list. For example, Fig.11 As shown, the first audio classification sub-list 18 includes 4 audio sub-lists.

[0120] In some embodiments, in response to a viewing operation for a first keyword, a first classification description corresponding to the first keyword is displayed. In some embodiments, the classification description corresponding to each keyword is determined based on a second model. The input of the second model is a classification keyword, and the output is a classification description. For example, the first keyword is input into the second model, and the first classification description corresponding to the first keyword is output. In some embodiments, the second model is an AI model. The second model is pre-trained with a sample training set. The sample training set includes at least one sample keyword, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained second model capable of outputting accurate classification descriptions is obtained.

[0121] In some embodiments, the first model and the second model are large language models.

[0122] To sum up, the solution provided in the embodiment of the present application realizes further classification of multiple favorite audios in the first audio list based on classification keywords. When the first classification image corresponds to multiple classification keywords, the first audio list corresponding to the first classification image can be more finely divided into multiple audio classification sub-lists, thereby facilitating the first listener corresponding to the first account to find more matching favorite audios based on classification keywords.

[0123] Fig.12 is a flowchart of a method for displaying audio collections provided by an exemplary embodiment of the present application. The method comprises Figure 1 The terminal 120 shown executes the method, which includes:

[0124] Step 420: In response to the third interactive operation on the first classification image, display a recommended audio list corresponding to the first classification image.

[0125] In some embodiments, the third interactive operation for the first classification image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the third interactive operation for the first classification image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0126] In some embodiments, the recommended audio list includes at least one recommended audio. The category of the recommended audio is the same as or similar to the category of the favorite audio in the first audio list. For example, assuming that the first audio list corresponding to the first classification image includes {classical audio 1, classical audio 2}, the recommended audio list may include {classical audio 3, classical audio 4}.

[0127] In some embodiments, the recommended audio list is generated based on a recommendation model. The input of the recommendation model is at least one favorite audio in the first audio list, such as all or part of the favorite audio in the first audio list. The output of the recommendation model is a recommended audio list including at least one recommended audio. In some embodiments, the recommendation model is an AI model. The recommendation model is pre-trained with a sample training set. The sample training set includes at least one sample audio, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained recommendation model that can output accurate recommended audio is obtained.

[0128] In summary, the solution provided in the embodiment of the present application can generate a recommended audio list corresponding to the first classification image based on the first classification image. The first listener corresponding to the first account can not only find the corresponding collection audio based on the first classification image, but also obtain the recommended audio corresponding to the first classification image.

[0129] Fig.13 is a flowchart of a method for displaying audio collections provided by an exemplary embodiment of the present application. The method comprises Figure 1 The terminal 120 shown executes the method, which includes:

[0130] Step 520: When the favorite audio list of the first account changes, update at least one classification image.

[0131] In some embodiments, at least one classification image is unchanged. For example, after the first listener of the first account generates at least one classification image based on the favorite audio list of the first account for the first time, the at least one classification image generated for the first time corresponds to the first account. The first listener can select different target classification images from the at least one classification image generated for the first time as display images for different periods through filtering operations, changing operations, etc., but cannot update the at least one classification image generated for the first time.

[0132] In some embodiments, at least one classification image is changeable. Alternatively, it can be understood that at least one classification image is updated when an update condition is met. For example, after at least one classification image is generated for the first time, if the update condition is met, at least one classification image is generated for the second time.

[0133] In some embodiments, satisfying the update condition includes: the favorite audio list of the first account changes. For example, the favorite audio list of the first account changes from {classical audio 1, classical audio 2} to {classical audio 1, popular audio 1}. It should be understood that the change in the favorite audio list of the first account actually means that the audio tags corresponding to the favorite audio in the favorite audio list change. For example, the style tag of the favorite audio in the favorite audio list before the change is classical style, and the style tags of the favorite audio in the favorite audio list after the change are classical style and popular style.

[0134] In some embodiments, satisfying the update condition also includes: the listener behavior of the first listener corresponding to the first account changes. For example, the first listener browses the favorite audio in the early morning before the change and browses the favorite audio in the evening after the change.

[0135] To sum up, the solution provided in the embodiment of the present application, by updating at least one classification image, makes the audience portrait obtained by clustering multiple favorite audios in the favorite audio list of the first account more accurate, which is conducive to enabling the first listener to obtain the latest and most accurate audience portrait in real time.

[0136] In some embodiments, the above method for displaying favorite audio can also be applied to favorite text or favorite pictures or favorite videos and other multimedia information. In the embodiments of the present application, only favorite audio is used as a representative example for description.

[0137] Fig.14 A structural block diagram of a device for displaying audio collections provided by an exemplary embodiment of the present application is shown, and the device includes:

[0138] The display module 1310 is used to display at least one classification image.

[0139] In some embodiments, in response to a viewing operation on the favorite audio list of the first account, at least one classification image is displayed. At least one classification image is a listener portrait obtained by clustering multiple favorite audios in the favorite audio list of the first account. Exemplarily, assuming that the favorite audio list of the first account includes classical audio and popular audio, in response to a viewing operation on the favorite audio list of the first account, classification image 1 and classification image 2 are displayed. Among them, classification image 1 is obtained based on the classical audio in the favorite audio list of the first account, and classification image 2 is obtained based on the popular audio in the favorite audio list of the first account.

[0140] In some embodiments, at least one classification profile is determined based on at least one of the following:

[0141] The audio tag corresponding to the favorite audio in the favorite audio list;

[0142] The audience behavior of the first audience corresponding to the first account;

[0143] Audience portrait of the first audience.

[0144] In some embodiments, at least one classification image is determined based on the audio tags corresponding to the favorite audio in the favorite audio list of the first account. Optionally, the audio tags include at least one of the following: style tag; language tag; era tag; emotion tag; scene tag; rhythm tag. It should be noted that in some other possible embodiments, the above audio tags may also include more other types, or the above audio tags may also be subdivided into more other types, which is not limited in the embodiments of the present application.

[0145] In some embodiments, the style tag is used to indicate the style corresponding to the collected audio, such as pop style, classical style, jazz style, rock style, Latin style, folk style, country style, etc.

[0146] In some embodiments, the language tag is used to indicate the language corresponding to the favorite audio, such as Chinese, English, Japanese, Korean, French, German, Russian, etc.

[0147] In some embodiments, the era tag is used to indicate the release time corresponding to the collection audio, or to indicate the era corresponding to the scene depicted by the collection audio, for example, the 1980s, 2000, 2024, etc.

[0148] In some embodiments, the emotional tag is used to indicate the emotional atmosphere or emotional state corresponding to the collected audio, such as happy, sad, romantic, nervous, angry, relaxed, lively, nostalgic, melancholy, inspiring, etc.

[0149] In some embodiments, the scene tag is used to indicate the occasion or environment described by the collected audio, such as a learning scene, a travel scene, a wedding scene, a work scene, etc.

[0150] In some embodiments, the tempo tag is used to collect the beat and speed corresponding to the audio, such as fast tempo, slow tempo, slow tempo, etc.

[0151] In some embodiments, at least one classification image is determined based on the audience behavior of the first audience corresponding to the first account. Optionally, the audience behavior includes at least one of the following: browsing time period; browsing frequency; duration. It should be noted that in some other possible embodiments, the above-mentioned audience behavior may also include more other types, or the above-mentioned audience behavior may also be subdivided into more other types, which is not limited in the embodiments of the present application.

[0152] In some embodiments, the browsing time period refers to the time period when the first listener browses the collected audio, such as early morning, afternoon, evening, midnight, etc.

[0153] In some embodiments, the browsing frequency refers to the frequency at which the first listener browses the collected audio, for example, once an hour, once half a day, once a day, and so on.

[0154] In some embodiments, the duration refers to the duration of each time the first listener browses the favorite audio, for example, one hour, half a day, one day, etc.

[0155] In some embodiments, at least one classification image is determined based on the audience portrait of the first listener corresponding to the first account. In a possible embodiment, in response to a viewing operation of the favorite audio list of the first account, the audience portrait of the first listener is obtained. Based on the audience portrait of the first listener, at least one classification image is determined and displayed. It is understandable that at least one classification image is determined based on the real image of the first listener.

[0156] In some embodiments, at least one classification image is determined from a predetermined list of classification images, wherein the predetermined list of classification images includes all classification images, each classification image corresponds to one or more audio tags, and / or each classification image corresponds to one or more listener behaviors.

[0157] In some embodiments, at least one classification image is determined based on a classification model. The input of the classification model is at least one collection of audio, and the output is at least one classification image. In some embodiments, the classification model is an AI model. The classification model is pre-trained with a sample training set. The sample training set includes at least one sample audio, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained classification model capable of outputting an accurate classification image is obtained.

[0158] In some embodiments, when at least one classification image includes two or more classification images, at least one classification image is displayed on the same display interface. Figure 3 As shown, the first classification image 11 and the second classification image 12 are displayed in the form of a list on the same display interface. It should be noted that the embodiment of the present application does not limit the display method of two or more classification images on the same display interface. For example, the first classification image 11 and the second classification image 12 can also be displayed in the form of a table on the same display interface.

[0159] In some embodiments, when at least one classification image includes two or more classification images, in response to a switching operation on at least one classification image, a target classification image is switched for display. The target classification image is one of the at least one classification image. Optionally, the switching operation on at least one classification image includes a left-right sliding operation or an up-down sliding operation.

[0160] In some embodiments, at least one classification image is switched based on a switching control trigger. In response to a trigger operation on the switching control, the at least one classification image is switched to display. Optionally, the switching control includes a left-right switching control or an up-down switching control. For example, Figure 4 As shown, in response to a trigger operation on the right switch control 13 , the first classification image 11 is switched to the second classification image 12 .

[0161] In some embodiments, the number of at least one classification image is greater than or equal to a first quantity threshold. In one possible embodiment, the first quantity threshold is preset in advance. For example, the first quantity threshold is preset in advance to 5, then when the number of at least one classification image is greater than or equal to 5, at least one classification image is displayed. When the number of at least one classification image is less than 5, at least one classification image is not displayed. In another possible embodiment, the first quantity threshold can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the first quantity threshold according to preferences or needs. This is helpful to avoid too few classification images, resulting in failure to meet the selection needs of the first listener.

[0162] In some embodiments, the number of at least one classification image is within a quantity range. In one possible embodiment, the quantity range is preset in advance. For example, the preset quantity range is 5-10, then when the number of at least one classification image is greater than or equal to 5 and less than or equal to 10, at least one classification image is displayed. When the number of at least one classification image is less than 5 or greater than 10, at least one classification image is displayed. In another possible embodiment, the quantity range can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the quantity range according to preferences or needs. Not only can it avoid the situation where the number of classification images is too small, resulting in the inability to meet the selection needs of the first listener; it can also avoid the situation where the number of classification images is too large, causing the first listener to be troubled when selecting the target classification image.

[0163] In some embodiments, based on at least one of the audio tags corresponding to the favorite audio in the favorite audio list, the listener behavior of the first listener corresponding to the first account, and the listener portrait of the first listener, clustering generates at least one classification image. Optionally, based on at least one of the audio tags corresponding to the favorite audio in the favorite audio list, the listener behavior of the first listener corresponding to the first account, and the listener portrait of the first listener, the first clustering generates a first classification image set, and the first classification image set includes at least one classification image. When the number of classification images in the first classification image set is not within the quantity range, the second iteration generates a second classification image set. Repeat the iteration multiple times until the number of classification images in the nth classification image set generated by the nth iteration is within the quantity range, then stop the iteration, and use the classification image in the nth classification image set as the display image. The value of n is a positive integer. It should be understood that each iteration process can be understood as a clustering process based on at least one of the audio tags corresponding to the favorite audio in the favorite audio list, the listener behavior of the first listener corresponding to the first account, and the listener portrait of the first listener, but each iteration is different. For example, the first iteration is based on 5 audio tags corresponding to the favorite audios in the favorite audio list, and the second iteration is based on 10 audio tags corresponding to the favorite audios in the favorite audio list.

[0164] In some embodiments, the number of classification keywords corresponding to each classification image in at least one classification image is greater than or equal to a second quantity threshold. In one possible embodiment, the second quantity threshold is preset in advance. For example, if the second quantity threshold is preset to 5, the number of classification keywords corresponding to each classification image in at least one classification image is greater than or equal to 5. If the number of classification keywords corresponding to the first classification image is less than 5, the first classification image does not belong to at least one classification image to be displayed. In another possible embodiment, the second quantity threshold can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the second quantity threshold according to preference or need.

[0165] In some embodiments, the at least one classification image includes a first classification image.

[0166] The display module 1310 is further configured to display a first audio list in response to a first interactive operation on the first classification image.

[0167] In some embodiments, the first interactive operation for the first classification image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the first interactive operation for the first classification image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0168] In some embodiments, the first audio list includes at least one favorite audio belonging to the first classification image, and the at least one favorite audio is a subset of multiple favorite audios. Or it can be understood that the first audio list is an audio list corresponding to the first classification image, and the first audio list is a subset of the favorite audio list of the first account. For example, assuming that the favorite audio list of the first account includes {Favorite Audio 1, Favorite Audio 2, Favorite Audio 3}, the first audio list corresponding to the first classification image is {Favorite Audio 1, Favorite Audio 2}, where {Favorite Audio 1, Favorite Audio 2} is a subset of {Favorite Audio 1, Favorite Audio 2, Favorite Audio 3}.

[0169] In some embodiments, in response to a first interactive operation on a first classification image, or in response to a selection operation on a first classification image among multiple classification images, a first audio list corresponding to the first classification image is displayed. Figure 5 As shown, in response to a selection operation on the first classification image 11, a first audio list 14 corresponding to the first classification image 11 is displayed.

[0170] The display module 1310 is further used to display the favorite audio list of the first account and the image opening control.

[0171] In some embodiments, the favorite audio list of the first account includes at least one favorite audio. The favorite audio list of the first account can be understood as an unclassified original favorite audio list. It should be understood that the favorite audio list of the first account may include a large number of favorite audios, which may not be displayed in one interface. Displaying the favorite audio list of the first account here refers to displaying all the favorite audios of the first account in the form of a list. Only part of the favorite audio may be displayed on the current display page. For example, Figure 7 As shown, the favorite audio list 16 of the first account is displayed. The favorite audio list 16 includes 100 favorite audios, but only 3 favorite audios are displayed on the current page. In some embodiments, the first listener corresponding to the first account can browse all the favorite audios by browsing the favorite audio list of the first account. For example, Figure 7 As shown, in response to the up and down sliding operation on the favorite audio list 16 of the first account, other favorite audios in the favorite audio list 16 are displayed by sliding.

[0172] In some embodiments, the image opening control is a control for triggering the opening or generation of a classification image. In some embodiments, the image opening control is displayed synchronously with the favorite audio list of the first account. For example, while displaying the favorite audio list of the first account, the image opening control is displayed. In some embodiments, the image opening control is displayed when the display conditions are met. For example, when the favorite audio list of the first account is displayed, and all the favorite audios in the favorite audio list of the first account meet the requirements for clustering to generate a classification image, the image opening control is displayed. It should be noted that the display method of the image opening control is not limited in the embodiments of the present application. For example, the image opening control may be a rectangular control, a circular control, a triangular control, or the like. For another example, the image opening control may be displayed in the form of a floating window.

[0173] In some embodiments, the image opening control is displayed when the opening condition is met. Or it can be understood that the image opening control is displayed when the opening condition is met. Optionally, the opening condition includes: the first number is greater than or equal to the third number threshold, and the first number is the number of favorite audios in the favorite audio list of the first account. That is, when the number of favorite audios in the favorite audio list of the first account is greater than or equal to the third number threshold, the image opening control is displayed. In one possible embodiment, the third number threshold is preset in advance. For example, the third number threshold is preset in advance to 100, and the image opening control is displayed when the number of favorite audios in the favorite audio list of the first account is greater than or equal to 100. In another possible embodiment, the third number threshold can be adjusted dynamically. For example, the first listener corresponding to the first account can dynamically set the third number threshold according to preference or demand. When the first number is large enough, turning on the image opening control is conducive to ensuring that at least one classification image generated based on the image opening control is more in line with the first listener.

[0174] In some embodiments, the above apparatus further comprises:

[0175] The generating module 1320 is used to generate at least one classification image in response to a triggering operation on an image opening control.

[0176] In some embodiments, the triggering operation for opening the image control includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the triggering operation for opening the image control includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of the present application. For example, Figure 7 As shown, in response to a trigger operation on the image opening control 15, at least one classification image is generated.

[0177] In some embodiments, at least one classification image is a listener portrait obtained by clustering multiple favorite audios in the favorite audio list of the first account. Exemplarily, assuming that the favorite audio list of the first account includes classical audio and popular audio, in response to a trigger operation for the image opening control, classification image 1 and classification image 2 are generated. Classification image 1 is obtained based on the classical audio in the favorite audio list of the first account, and classification image 2 is obtained based on the popular audio in the favorite audio list of the first account.

[0178] In some embodiments, at least one classification profile is determined based on at least one of the following:

[0179] The audio tag corresponding to the favorite audio in the favorite audio list;

[0180] The audience behavior of the first audience corresponding to the first account;

[0181] Audience portrait of the first audience.

[0182] For the specific implementation, please refer to the introduction in the above step 220 .

[0183] It should be noted that the display method of the at least one generated classification image is not limited in the embodiment of the present application. For example, the at least one classification image can be displayed in the form of an image mask.

[0184] The generating module 1320 is further configured to generate at least one image mask in response to a triggering operation on the image opening control.

[0185] In some embodiments, each image mask in the at least one image mask corresponds to a classification image in the at least one classification image.

[0186] In some embodiments, when at least one image mask includes two or more image masks, in response to a switching operation on at least one image mask, a target image mask is switched for display. The target image mask is one of the at least one image mask. Optionally, the switching operation on at least one image mask includes a left-right sliding operation or an up-down sliding operation.

[0187] In some embodiments, at least one image mask is switched based on a switch control trigger. In response to a trigger operation on the switch control, at least one image mask is switched and displayed. Optionally, the switch control includes a left-right switch control or an up-down switch control.

[0188] For example, Figure 8As shown, in response to the trigger operation for the image opening control, the first image mask 21, the second image mask 22 and the third image mask 23 are generated. Among them, the first image mask 21 corresponds to the first classification image, the second image mask 22 corresponds to the second classification image, and the third image mask 23 corresponds to the third classification image. When the first listener corresponding to the first account selects the first image mask 21 as the target image mask, that is, the first listener selects the first classification image as the display image.

[0189] The display module 1310 is further configured to select a first classification image from the at least one classification image in response to a screening operation on the at least one classification image.

[0190] In some embodiments, the filtering operation for at least one classified image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the filtering operation for at least one classified image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0191] In some embodiments, when the favorite audio list of the first account corresponds to one or more classification images, the first listener corresponding to the first account can select the most suitable or favorite classification image as the display image through screening. For example, assuming that the favorite audio list of the first account includes classical audio and popular audio, the two classification images generated are the classical image and the popular image. However, if the first listener feels that the classical image is more in line with his appearance or personality, the first listener can select the classical image as the display image.

[0192] The display module 1310 is further used to display the first classification image.

[0193] In some embodiments, after the first audience selects the first classification image from at least one classification image as the display image, only the first classification image is displayed. It should be understood that when at least one classification image includes two or more classification images, the classification images other than the first classification image can be hidden or no longer displayed (or can be understood as deleted and need to be regenerated before being displayed).

[0194] The display module 1310 is further configured to display at least one classification keyword corresponding to the first classification image in response to a second interactive operation on the first classification image.

[0195] In some embodiments, the second interactive operation for the first classification image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the second interactive operation for the first classification image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0196] In some embodiments, each classification image corresponds to at least one classification keyword. For example, assuming that the favorite audio list of the first account corresponds to classification image 1 and classification image 2, classification image 1 corresponds to at least one classification keyword, and classification image 2 corresponds to at least one classification keyword. In some embodiments, different classification images correspond to different classification keywords, such as classification image 1 corresponds to {classification keyword 1, classification keyword 2}, and classification image 2 corresponds to {classification keyword 3, classification keyword 4}. In some embodiments, different classification images can correspond to the same classification keyword, such as classification image 1 corresponds to {classification keyword 1, classification keyword 2}, and classification image 2 corresponds to {classification keyword 2, classification keyword 3}.

[0197] In some embodiments, at least one of the classification keywords corresponding to the first classification image includes the first keyword. Fig.11 As shown, the first classification image 11 corresponds to at least one classification keyword 17 .

[0198] In some embodiments, in response to a second interactive operation on a first classification image, a first classification summary corresponding to the first classification image is displayed. In some embodiments, the classification summary corresponding to each classification image is determined based on a first model. The input of the first model is at least one classification keyword, and the output is a classification summary. For example, at least one classification keyword corresponding to the first classification image is input into the first model, and the first classification summary corresponding to the first classification image is output. In some embodiments, the first model is an AI model. The first model is pre-trained with a sample training set. The sample training set includes at least one sample keyword, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained first model capable of outputting an accurate classification summary is obtained.

[0199] The display module 1310 is further configured to display a first audio classification sub-list corresponding to the first keyword in response to a viewing operation on the first keyword.

[0200] In some embodiments, the viewing operation for the first keyword includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the viewing operation for the first keyword includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0201] In some embodiments, the first audio classification sublist is a subset of the first audio list. It should be understood that the first audio classification sublist is an audio classification list corresponding to the first keyword. In the case where the first classification image corresponds to multiple classification keywords, each classification keyword corresponds to an audio classification list. Fig.11 As shown, the first classification image 11 corresponds to the first keyword {brilliant}, the second keyword {trendy}, and the third keyword {full of energy}. In response to the viewing operation for the first keyword, the first audio classification sublist corresponding to the first keyword is displayed. In response to the viewing operation for the second keyword, the second audio classification sublist corresponding to the second keyword is displayed. In response to the viewing operation for the third keyword, the third audio classification sublist corresponding to the third keyword is displayed.

[0202] In some embodiments, the first audio classification sublist includes at least one audio sublist, and each audio sublist in the at least one audio sublist includes at least one favorite audio. Each audio sublist is a subset of the first audio list. For example, Fig.11 As shown, the first audio classification sub-list 18 includes 4 audio sub-lists.

[0203] In some embodiments, in response to a viewing operation for a first keyword, a first classification description corresponding to the first keyword is displayed. In some embodiments, the classification description corresponding to each keyword is determined based on a second model. The input of the second model is a classification keyword, and the output is a classification description. For example, the first keyword is input into the second model, and the first classification description corresponding to the first keyword is output. In some embodiments, the second model is an AI model. The second model is pre-trained with a sample training set. The sample training set includes at least one sample keyword, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained second model capable of outputting accurate classification descriptions is obtained.

[0204] The display module 1310 is further configured to display a recommended audio list corresponding to the first classification image in response to a third interactive operation on the first classification image.

[0205] In some embodiments, the third interactive operation for the first classification image includes at least one of single click, double click, left and right slide, up and down slide, long press, hover, face recognition, and voice recognition. It is worth noting that the third interactive operation for the first classification image includes but is not limited to the above mentioned ones. Those skilled in the art should be able to know that any operation that can achieve the above functions belongs to the protection scope of the embodiments of this application.

[0206] In some embodiments, the recommended audio list includes at least one recommended audio. The category of the recommended audio is the same as or similar to the category of the favorite audio in the first audio list. For example, assuming that the first audio list corresponding to the first classification image includes {classical audio 1, classical audio 2}, the recommended audio list may include {classical audio 3, classical audio 4}.

[0207] In some embodiments, the recommended audio list is generated based on a recommendation model. The input of the recommendation model is at least one favorite audio in the first audio list, such as all or part of the favorite audio in the first audio list. The output of the recommendation model is a recommended audio list including at least one recommended audio. In some embodiments, the recommendation model is an AI model. The recommendation model is pre-trained with a sample training set. The sample training set includes at least one sample audio, and after multiple trainings, for example, after 10,000 sample trainings or when the model converges, a trained recommendation model that can output accurate recommended audio is obtained.

[0208] In some embodiments, the above apparatus further comprises:

[0209] The updating module 1330 is used to update at least one classification image when the favorite audio list of the first account changes.

[0210] In some embodiments, at least one classification image is unchanged. For example, after the first listener of the first account generates at least one classification image based on the favorite audio list of the first account for the first time, the at least one classification image generated for the first time corresponds to the first account. The first listener can select different target classification images from the at least one classification image generated for the first time as display images for different periods through filtering operations, changing operations, etc., but cannot update the at least one classification image generated for the first time.

[0211] In some embodiments, at least one classification image is changeable. Alternatively, it can be understood that at least one classification image is updated when an update condition is met. For example, after at least one classification image is generated for the first time, if the update condition is met, at least one classification image is generated for the second time.

[0212] In some embodiments, satisfying the update condition includes: the favorite audio list of the first account changes. For example, the favorite audio list of the first account changes from {classical audio 1, classical audio 2} to {classical audio 1, popular audio 1}. It should be understood that the change in the favorite audio list of the first account actually means that the audio tags corresponding to the favorite audio in the favorite audio list change. For example, the style tag of the favorite audio in the favorite audio list before the change is classical style, and the style tags of the favorite audio in the favorite audio list after the change are classical style and popular style.

[0213] In some embodiments, satisfying the update condition also includes: the listener behavior of the first listener corresponding to the first account changes. For example, the first listener browses the favorite audio in the early morning before the change and browses the favorite audio in the evening after the change.

[0214] Please refer to Fig.15 , which shows a block diagram of a computer device 1200 provided by an exemplary embodiment of the present application. The computer device 1200 may be a portable mobile terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III), an MP4 player (Moving Picture Experts Group Audio Layer IV). The computer device 1200 may also be called a listener device, a portable terminal, or other names.

[0215] Typically, the computer device 1200 includes a processor 1201 and a memory 1202 .

[0216] The processor 1201 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 1201 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 1201 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 1201 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 1201 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0217] The memory 1202 may include one or more computer-readable storage media, which may be tangible and non-transitory. The memory 1202 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 1202 is used to store at least one instruction, which is executed by the processor 1201 to implement the method for displaying the favorite audio provided in the embodiment of the present application.

[0218] In some embodiments, the computer device 1200 may further include: a peripheral device interface 1203 and at least one peripheral device. Specifically, the peripheral device includes: at least one of a radio frequency circuit 1204 , a touch display screen 1205 , a camera assembly 1206 , an audio circuit 1207 and a power supply 1208 .

[0219] The peripheral device interface 1203 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 1201 and the memory 1202. In some embodiments, the processor 1201, the memory 1202, and the peripheral device interface 1203 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1201, the memory 1202, and the peripheral device interface 1203 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0220] The radio frequency circuit 1204 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 1204 communicates with the communication network and other communication devices through electromagnetic signals. The radio frequency circuit 1204 converts the electrical signal into an electromagnetic signal for transmission, or converts the received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 1204 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, an audience identity module card, etc. The radio frequency circuit 1204 can communicate with other terminals through at least one wireless communication protocol. The wireless communication protocol includes but is not limited to: the World Wide Web, a metropolitan area network, an intranet, various generations of mobile communication networks (2G, 3G, 4G and 5G), a wireless local area network and / or Wi-Fi, a wireless fidelity network. In some embodiments, the radio frequency circuit 1204 may also include circuits related to NFC (Near Field Communication), which is not limited in this application.

[0221] The touch display screen 1205 is used to display a UI (User Interface). The UI may include graphics, text, icons, videos, and any combination thereof. The touch display screen 1205 also has the ability to collect touch signals on the surface or above the surface of the touch display screen 1205. The touch signal may be input as a control signal to the processor 1201 for processing. The touch display screen 1205 is used to provide virtual buttons and / or comment keyboards, also known as soft buttons and / or soft keyboards. In some embodiments, the touch display screen 1205 may be one, and the front panel of the computer device 1200 is set; in other embodiments, the touch display screen 1205 may be at least two, which are respectively set on different surfaces of the computer device 1200 or are folded; in some embodiments, the touch display screen 1205 may be a flexible display screen, which is set on a curved surface or a folded surface of the computer device 1200. Even, the touch display screen 1205 can also be set as a non-rectangular irregular figure, that is, a special-shaped screen. The touch display screen 1205 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0222] The camera assembly 1206 is used to capture images or videos. Optionally, the camera assembly 1206 includes a front camera and a rear camera. Typically, the front camera is used to realize video calls or selfies, and the rear camera is used to realize the shooting of photos or videos. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, and a wide-angle camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, and the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting functions. In some embodiments, the camera assembly 1206 may also include a flash. The flash can be a monochrome temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.

[0223] The audio circuit 1207 is used to provide an audio interface between the audience and the computer device 1200. The audio circuit 1207 may include a microphone and a speaker. The microphone is used to collect sound waves from the audience and the environment, and convert the sound waves into electrical signals and input them into the processor 1201 for processing, or input them into the radio frequency circuit 1204 to achieve voice communication. For the purpose of stereo acquisition or noise reduction, there may be multiple microphones, which are respectively arranged at different parts of the computer device 1200. The microphone may also be an array microphone or an omnidirectional acquisition microphone. The speaker is used to convert the electrical signal from the processor 1201 or the radio frequency circuit 1204 into sound waves. The speaker may be a traditional film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can not only convert the electrical signal into sound waves audible to humans, but also convert the electrical signal into sound waves inaudible to humans for purposes such as distance measurement. In some embodiments, the audio circuit 1207 may also include a headphone jack.

[0224] The power supply 1208 is used to power various components in the computer device 1200. The power supply 1208 can be an alternating current, a direct current, a disposable battery, or a rechargeable battery. When the power supply 1208 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged through a wired line, and a wireless rechargeable battery is a battery that is charged through a wireless coil. The rechargeable battery can also be used to support fast charging technology.

[0225] In some embodiments, the computer device 1200 further includes one or more sensors 1209 , including but not limited to: an acceleration sensor 1210 , a gyroscope sensor 1211 , a pressure sensor 1212 , an optical sensor 1213 , and a proximity sensor 1214 .

[0226] The acceleration sensor 1210 can detect the magnitude of acceleration on the three coordinate axes of the coordinate system established by the computer device 1200. For example, the acceleration sensor 1210 can be used to detect the components of gravity acceleration on the three coordinate axes. The processor 1201 can control the touch display screen 1205 to display the audience interface in a horizontal view or a vertical view according to the gravity acceleration signal collected by the acceleration sensor 1210. The acceleration sensor 1210 can also be used to collect motion data of games or audiences.

[0227] The gyro sensor 1211 can detect the body direction and rotation angle of the computer device 1200, and the gyro sensor 1211 can cooperate with the acceleration sensor 1210 to collect the 3D actions of the audience on the computer device 1200. The processor 1201 can implement the following functions based on the data collected by the gyro sensor 1211: motion sensing (such as changing the UI according to the tilt operation of the audience), image stabilization during shooting, game control, and inertial navigation.

[0228] The pressure sensor 1212 can be set on the side frame of the computer device 1200 and / or the lower layer of the touch display screen 1205. When the pressure sensor 1212 is set on the side frame of the computer device 1200, it can detect the audience's holding signal of the computer device 1200, and perform left and right hand recognition or shortcut operation according to the holding signal. When the pressure sensor 1212 is set on the lower layer of the touch display screen 1205, it can control the operability controls on the UI interface according to the pressure operation of the audience on the touch display screen 1205. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

[0229] The optical sensor 1213 is used to collect the ambient light intensity. In one embodiment, the processor 1201 can control the display brightness of the touch display screen 1205 according to the ambient light intensity collected by the optical sensor 1213. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 1205 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 1205 is reduced. In another embodiment, the processor 1201 can also dynamically adjust the shooting parameters of the camera assembly 1206 according to the ambient light intensity collected by the optical sensor 1213.

[0230] The proximity sensor 1214, also called a distance sensor, is usually arranged on the front of the computer device 1200. The proximity sensor 1214 is used to collect the distance between the audience and the front of the computer device 1200. In one embodiment, when the proximity sensor 1214 detects that the distance between the audience and the front of the computer device 1200 is gradually decreasing, the processor 1201 controls the touch display screen 1205 to switch from the screen-on state to the screen-off state; when the proximity sensor 1214 detects that the distance between the audience and the front of the computer device 1200 is gradually increasing, the processor 1201 controls the touch display screen 1205 to switch from the screen-off state to the screen-on state.

[0231] Those skilled in the art will understand that Fig.15 The structure shown in the figure does not constitute a limitation on the computer device 1200, and the computer device 1200 may include more or less components than shown in the figure, or combine some components, or adopt a different component arrangement.

[0232] An embodiment of the present application also provides a computer device, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the method for displaying collected audio as provided in the above-mentioned method embodiments.

[0233] The present application also provides a computer-readable storage medium, in which at least one instruction, at least one program, a code set or an instruction set is stored. The at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the method for displaying collected audio provided in the above method embodiment.

[0234] The present application provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for displaying the favorite audio provided by the above method embodiment.

[0235] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0236] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a disk or an optical disk, etc.

[0237] The above description is only an optional embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for displaying audio collection, characterized in that: The method comprises: Displaying at least one classification image, wherein the at least one classification image is a listener portrait obtained by clustering a plurality of favorite audios in the favorite audio list of the first account, and the at least one classification image includes a first classification image; In response to a first interactive operation on the first classification image, a first audio list is displayed, wherein the first audio list includes at least one favorite audio belonging to the first classification image, and the at least one favorite audio is a subset of the multiple favorite audios.

2. The method according to claim 1, characterized in that Before displaying at least one classification image, the method further includes: Display the favorite audio list and image opening control of the first account; In response to a trigger operation of opening a control for the image, the at least one classification image is generated.

3. The method according to claim 2, characterized in that The generating of the at least one classification image in response to a triggering operation of opening a control for the image comprises: In response to a trigger operation for opening the image control, at least one image mask is generated, each image mask in the at least one image mask corresponds to a classification image in the at least one classification image.

4. The method according to any one of claims 1 to 3, characterized in that: Before displaying the first audio list in response to the first interactive operation on the first classification image, the method further includes: In response to a screening operation on the at least one classification image, selecting the first classification image from the at least one classification image; The first classification image is displayed.

5. The method according to any one of claims 1 to 4, characterized in that: The at least one classification image is determined based on at least one of the following: The audio tags corresponding to the favorite audios in the favorite audio list; Listener behavior of a first listener corresponding to the first account; An audience profile of the first audience member.

6. The method according to claim 5, characterized in that The audio tag includes at least one of the following: Style tags; Language label; Year label; Emotional labels; Scene labels; Rhythm tags.

7. The method according to claim 5, characterized in that The audience behavior includes at least one of the following: Browsing time period; Frequency of browsing; Duration.

8. The method according to any one of claims 1 to 7, characterized in that: The method further comprises: In response to a second interactive operation on the first classification image, displaying at least one classification keyword corresponding to the first classification image, the at least one classification keyword including a first keyword; In response to a viewing operation on the first keyword, a first audio classification sub-list corresponding to the first keyword is displayed, where the first audio classification sub-list is a subset of the first audio list.

9. The method according to any one of claims 1 to 8, characterized in that: The method further comprises: In response to a third interactive operation on the first classification image, a recommended audio list corresponding to the first classification image is displayed, and the recommended audio list includes at least one recommended audio.

10. The method according to any one of claims 1 to 9, characterized in that: The method further comprises: When the favorite audio list of the first account changes, the at least one classification image is updated.

11. A display device for collecting audio, characterized in that: The device comprises: A display module, configured to display at least one classification image, wherein the at least one classification image is a listener portrait obtained by clustering a plurality of favorite audios in the favorite audio list of the first account, and the at least one classification image includes a first classification image; The display module is also used to display a first audio list in response to a first interactive operation on the first classification image, wherein the first audio list includes at least one favorite audio belonging to the first classification image, and the at least one favorite audio is a subset of the multiple favorite audios.

12. A computer device, characterized in that: The computer device comprises: a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the method for displaying the collected audio according to any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is loaded and executed by a processor to implement the method for displaying favorite audio as described in any one of claims 1 to 10.

14. A computer program product, characterized in that The computer program product includes computer instructions, which are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes to implement the method for displaying collected audio as described in any one of claims 1 to 10.

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