Sound effect database construction method and in-vehicle prompt tone sound effect recommendation method and device
By building a user-preferred sound effect database and real-time environmental perception, the optimal sound effect parameters are recommended, which solves the problem of single vehicle prompt sound effects and improves driving safety and user experience.
Patent Information
- Application Number
- CN202510832605.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-20
- Publication Date
- 2025-10-14
AI Technical Summary
Existing vehicle prompt sound effects are single and fail to adjust according to user preferences and changes in the environment inside and outside the vehicle, affecting the prompt effect and user experience.
By building a user preference sound effect database, combined with vehicle environment parameters and user instructions, the optimal sound effect parameters are recommended to play the in-car prompt sound, realizing personalized management and scene control of sound effects.
It improves the driver's recognition and response speed to prompt information, enhances driving safety and user experience, and reduces the boredom or neglect caused by uncomfortable prompt sounds.
Smart Images
Figure CN120780862A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of vehicles, in particular to a sound effect database construction method and an in-vehicle prompt sound sound effect recommendation method and device. BACKGROUND
[0002] With the continuous upgrading of people's demand for vehicle entertainment functions, vehicle sound effects have become one of the main evaluation indexes for users to judge the performance of car entertainment systems. However, the sound effects of most existing vehicles are relatively single, and do not involve data management of user preferred sound effects, making it difficult to cater to user entertainment experience needs.
[0003] The prompt sound of the current vehicle is a preset sound effect. Under the influence of different sound environments inside and outside the vehicle, the prompt sound of the same sound effect is easy to affect the prompt effect and be ignored by the vehicle passengers, causing safety hazards. Therefore, it is of great significance to recommend prompt sound effects according to user preferences and in-vehicle and out-of-vehicle environments to improve the vehicle driving and riding experience. SUMMARY
[0004] The embodiments of the present application provide a sound effect database construction method and an in-vehicle prompt sound sound effect recommendation method and device, which at least construct a sound effect database through the record of user historical operations performed on the vehicle machine to realize data management of user preferred sound effects, facilitate scene control of vehicle sound effects in cooperation with the car entertainment system, and cater to the diversified entertainment experience needs of users.
[0005] In a first aspect, the embodiments of the present application provide a sound effect database construction method based on user preferences, which at least includes:
[0006] determining at least a user historical sound effect selection type, a use duration of each user historical sound effect selection type, and a sound effect adjustment parameter after each user historical sound effect selection type is selected according to the user's vehicle machine historical operation record;
[0007] establishing a user preferred sound effect database according to at least the user historical sound effect selection type, the use duration of each user historical sound effect selection type, and the sound effect adjustment parameter after each user historical sound effect selection type is selected.
[0008] Optionally, the establishment of the user preferred sound effect database according to at least the user historical sound effect selection type, the use duration of each user historical sound effect selection type, and the sound effect adjustment parameter after each user historical sound effect selection type is selected at least includes:
[0009] formulating a progressive rule between each user historical sound effect selection type;
[0010] According to each of the user historical sound effect selection types, a usage time length of each of the user historical sound effect selection types, and a sound effect adjustment parameter after each of the user historical sound effect selection types is selected, a data set of each of the user historical sound effect selection types is determined.
[0011] According to the progressive rule, an association operation is performed on a data table of each of the user historical sound effect selection types in the data set to establish the user preference sound effect database.
[0012] In a second aspect, an embodiment of the present application further provides a vehicle prompt sound effect recommendation method, which at least includes the user preference sound effect database construction method in any one of the first aspect.
[0013] After the user preference sound effect database is established, the vehicle prompt sound effect recommendation method at least further includes:
[0014] Real-time acquisition of vehicle environment parameters to output vehicle scene information based on the vehicle environment parameters;
[0015] At least in response to input of a current user instruction or a current multimedia audio, type parameters and feature parameters of the current user instruction or the current multimedia audio are determined correspondingly;
[0016] Optimal sound effect parameters are selected from the user preference sound effect database according to the vehicle scene information, the type parameters and the feature parameters, and a vehicle prompt sound is played based at least on the optimal sound effect parameters.
[0017] Optionally, in response to input of the current user instruction, the type parameters at least include an interaction type, and the feature parameters at least include a keyword, a to-be-executed semantic and an emotional tendency.
[0018] In response to input of the current multimedia audio, the type parameters at least include an audio type, and the feature parameters at least include a rhythm parameter, a melody parameter and a style parameter.
[0019] Optionally, the real-time acquisition of vehicle environment parameters to output vehicle scene information based on the vehicle environment parameters at least includes:
[0020] At least real-time acquisition of a vehicle driving state parameter, an environmental noise parameter and an environmental illumination parameter to output the vehicle scene information based on the vehicle driving state parameter, the environmental noise parameter and the environmental illumination parameter.
[0021] In a third aspect, an embodiment of the present application further provides a vehicle prompt sound effect recommendation device, which at least includes:
[0022] A database establishment module is configured to establish a user preference sound effect database.
[0023] a scene information output module, configured to acquire a vehicle environment parameter in real time, and output vehicle scene information based on the vehicle environment parameter;
[0024] a parameter determination module, configured to determine a type parameter and a feature parameter of a current user instruction or a current multimedia audio in response to an input of the current user instruction or the current multimedia audio;
[0025] a prompt sound playing module, configured to select optimal sound effect parameters from the user preference sound effect database according to the vehicle scene information, the type parameter and the feature parameter, and play in-vehicle prompt sound based on at least the optimal sound effect parameters.
[0026] Optionally, in response to the input of the current user instruction, the type parameter at least includes an interaction type, and the feature parameter at least includes a keyword, a to-be-executed semantic and an emotional tendency.
[0027] In response to the input of the current multimedia audio, the type parameter at least includes an audio type, and the feature parameter at least includes a rhythm parameter, a melody parameter and a style parameter.
[0028] Optionally, the scene information output module is specifically configured to:
[0029] acquire a vehicle driving state parameter, an environmental noise parameter and an environmental illumination parameter in real time, and output the vehicle scene information based on the vehicle driving state parameter, the environmental noise parameter and the environmental illumination parameter.
[0030] In a fourth aspect, an electronic device is provided, including a memory and a processor, the memory stores a computer program capable of running on the processor, and the processor implements the steps in the in-vehicle prompt sound sound effect recommendation method of any one of the second aspect when executing the program.
[0031] In a fifth aspect, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps in the in-vehicle prompt sound sound effect recommendation method of any one of the second aspect.
[0032] The technical scheme provided by the embodiment of the present application determines at least the user historical sound effect selection type, the use time length of each user historical sound effect selection type, and the sound effect adjustment parameter after each user historical sound effect selection type is selected according to the historical operation record of the user on the car machine. Further, the user preference sound effect database is established at least according to the user historical sound effect selection type, the use time length of each user historical sound effect selection type, and the sound effect adjustment parameter after each user historical sound effect selection type is selected. Therefore, the embodiment of the present application can realize the data management of the user preference sound effect by constructing the sound effect database through the record of the historical operation of the user on the car machine, and is beneficial to realizing the scene control of the vehicle-mounted sound effect in cooperation with the automobile entertainment system, and meets the diversified entertainment experience needs of the user. BRIEF DESCRIPTION OF DRAWINGS
[0033] In order to more clearly illustrate the technical scheme in the specific embodiments or prior art of the present application, the drawings needed to be used in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.
[0034] Figure 1 is a flow chart of a sound effect database construction method based on user preference provided by the embodiment of the present application;
[0035] Figure 2 is a flow chart of a car interior prompt sound effect recommendation method provided by the embodiment of the present application;
[0036] Figure 3 is a structural schematic diagram of a car interior prompt sound effect recommendation device provided by the embodiment of the present application;
[0037] Figure 4 is a structural schematic diagram of an electronic device provided by the embodiment of the present application. DETAILED DESCRIPTION
[0038] In order to make the purpose, technical scheme and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.
[0039] The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in the embodiments of the present application and the accompanying claims, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. "Plural" includes at least two.
[0040] It should be understood that the term "and / or" as used herein merely describes associated objects, and can exist in three forms: for example, A and / or B can mean that only A exists, both A and B exist, or only B exists. In addition, the character " / " in the present application generally represents an "or" relationship between the front and rear associated objects.
[0041] It should be understood that, although the terms first, second, third, etc. can be used in embodiments of the present application to describe various elements, these descriptions are not intended to be limiting. These terms are only used to distinguish one element from another. For example, a first can be termed a second, and, similarly, a second can be termed a first, without departing from the scope of the present application.
[0042] Depending on the context, the word "if" as used herein can be interpreted to mean "when" or "upon" or "in response to determining" or "in response to detecting." Similarly, the phrase "if it is determined" or "if a stated condition or event occurs" can be interpreted to mean " whenever it is determined" or "in response to determining" or "whenever the stated condition or event occurs" or "in response to detecting the stated condition or event."
[0043] It is also to be noted that the terms "comprising", "including", and "having" or variations thereof herein, are intended to be broad and encompass the presence of zero, one or more elements with the stated feature, limitation, or step. The use of the term "comprising" does not exclude the presence of additional elements or steps. The use of the term "including" does not exclude the presence of additional elements or steps. The use of the term "having" does not exclude the presence of additional elements or steps.
[0044] It is specifically noted that symbols and / or numbers present in the specification, if not marked in the description of the drawings, are not drawing reference numbers.
[0045] Figure 1is a flowchart of a user preference-based sound effect database construction method provided by an embodiment of the present application. The embodiment is applicable at least to vehicle-mounted sound effect database construction scenarios of various vehicles. The user preference-based sound effect database construction method can be executed by, but is not limited to, a vehicle prompt sound effect recommendation device in the embodiment of the present application as an execution subject. The execution subject can be implemented in the form of software and / or hardware. As shown in Figure 1 The user preference-based sound effect database construction method at least includes the following steps:
[0046] S11. Determine at least a user historical sound effect selection type, a use duration of each user historical sound effect selection type, and a sound effect adjustment parameter after each user historical sound effect selection type is selected according to a user's vehicle machine historical operation record.
[0047] For example, the vehicle machine historical operation record can be a vehicle machine log record generated by a user's adjustment operation on a sound effect on a vehicle cabin display screen.
[0048] S12. Establish a user preference sound effect database according to at least the user historical sound effect selection type, the use duration of each user historical sound effect selection type, and the sound effect adjustment parameter after each user historical sound effect selection type is selected.
[0049] Specifically, a user preference model (i.e., the aforementioned user preference sound effect database) can be constructed by using any machine learning algorithm according to a user's historical operation record in a vehicle-mounted system, such as a selected sound effect type (i.e., the aforementioned user historical sound effect selection type), a use duration of different types of sound effects (i.e., the aforementioned use duration of each user historical sound effect selection type), and an adjustment sound effect parameter (i.e., the aforementioned sound effect adjustment parameter after each user historical sound effect selection type is selected, which can be volume, pitch, timbre, etc.). For example, when a user frequently selects a sound effect with strong bass effect and often adjusts the volume to be high, the model can learn that the user prefers heavy bass and high volume sound effects.
[0050] After the sound effect database is constructed, the inventors find that various sound effects in the sound effect database exist completely independently, but in some actual working conditions of vehicles, a user can actually accept multiple sound effects. In view of this, the inventors plan to construct a sound effect linkage relationship between various sound effects in the database to at least further improve the intelligent degree of vehicle machine sound effect management. In a specific implementation, the aforementioned step S2 at least includes:
[0051] (2-1) Formulate a progressive rule between various user historical sound effect selection types.
[0052] The progressive rule can be that, in some working conditions, the relationship between multiple sound effects acceptable to the user can be an "or" relationship; in other working conditions, the user only accepts a single sound effect, and the relationship between the sound effect and any other sound effect is a "no" relationship.
[0053] (2-2) According to the historical sound effect selection type of each user, the use duration of the historical sound effect selection type of each user, and the sound effect adjustment parameter after the historical sound effect selection type of each user is selected, a data set of the historical sound effect selection type of each user is determined.
[0054] (2-3) According to the progressive rule, a correlation operation is performed on the data table of each historical sound effect selection type of the user in the data set to establish a user preference sound effect database.
[0055] The technical solution provided by the embodiment determines at least the historical sound effect selection type of the user, the use duration of the historical sound effect selection type of each user, and the sound effect adjustment parameter after the historical sound effect selection type of each user is selected according to the historical operation record of the user on the vehicle machine. Further, the user preference sound effect database is established at least according to the historical sound effect selection type of the user, the use duration of the historical sound effect selection type of each user, and the sound effect adjustment parameter after the historical sound effect selection type of each user is selected. Therefore, the embodiment can realize data management of user preference sound effects by constructing a sound effect database based on the record of historical operations performed by the user on the vehicle machine, which is conducive to realizing scene control of in-vehicle sound effects in cooperation with the automotive entertainment system and catering to the diversified entertainment experience needs of users.
[0056] In actual vehicle use, the inventors have also found that, with the continuous improvement of the intelligence level of vehicles, the application of in-vehicle prompt sounds is becoming more and more widespread, covering various scenes such as safety belt unfastening reminders, door unfastening reminders, navigation guidance, vehicle fault alarms, and the like. However, there are still many problems in the current control of in-vehicle prompt sound effects.
[0057] On the one hand, the prompt sound effects of most vehicles are relatively single and lack targeted optimization according to different prompt contents and scenes. For example, important fault alarm prompt sounds and information prompt sounds can use similar sound effects, which makes it difficult for the driver to quickly distinguish the importance of the prompt from the sound, affecting the timely response to key prompts.
[0058] On the other hand, the existing prompt sound effects do not fully consider the personalized needs of users. Different users have different perceptions and preferences for sound, and some users may find the system default prompt sound too harsh or soft, thus generating feelings of boredom or neglect; on the contrary, some users may find that the default prompt sound is too small and cannot achieve the effect of prompting. In addition, the traditional system does not involve adjusting the prompt sound effect according to the changes in vehicle driving state and driving scene, for example, when driving at high speed, the environmental noise is large, and the prompt sound volume and timbre are not changed accordingly, which may cause the prompt sound to be difficult to hear.
[0059] Therefore, on the basis of the foregoing sound effect database, Figure 2 is a flowchart of a prompt sound effect recommendation method provided by an embodiment of the present application. The prompt sound effect recommendation method can be executed by the prompt sound effect recommendation device in the embodiment of the present application as an execution subject, and the execution subject can be realized in the form of software and / or hardware. As shown in the figure, the prompt sound effect recommendation method at least includes the following steps: Figure 2
[0060] S1, establishing a user preference sound effect database.
[0061] S2, acquiring vehicle environment parameters in real time to output vehicle scene information based on the vehicle environment parameters.
[0062] The vehicle environment parameters can refer to parameters that can represent the characteristics of the external environment in which the vehicle is located.
[0063] In another specific embodiment, the foregoing step S2 at least includes:
[0064] At least real-time acquisition of vehicle driving state parameters, environmental noise parameters and environmental illumination parameters to output vehicle scene information based on the vehicle driving state parameters, environmental noise parameters and environmental illumination parameters.
[0065] Specifically, a variety of sensors arranged in the vehicle and outside the vehicle can be used to collect data to determine the scene. The vehicle driving state (such as stationary, driving, acceleration, deceleration, etc.) is perceived by using the in-vehicle sensors, such as acceleration sensors, the in-vehicle temperature and / or humidity environmental conditions are monitored by using the temperature and humidity sensors; the environmental noise level is detected based on the vehicle exterior sensors, such as noise sensors, and the environmental illumination intensity is obtained by using the sunlight sensors. When the acceleration sensor detects that the vehicle is stationary, the noise sensor detects that the external noise is above 80 decibels, and the light sensor indicates that the environmental illumination is sufficient, it can be determined that the current vehicle scene information is a noisy daytime scene outside the vehicle.
[0066] S3, in response to at least the input of the current user instruction or the current multimedia audio, determining a type parameter and a characteristic parameter of the current user instruction or the current multimedia audio.
[0067] The form of the current user instruction can be various, such as voice, gesture, etc. In addition, the current multimedia audio can correspond to navigation, music, video, game, etc. of the car machine.
[0068] In another specific embodiment, in response to the input of the current user instruction, the type parameter at least includes an interaction type, and the characteristic parameter at least includes a keyword, an execution semantic, and an emotional tendency.
[0069] In response to the input of the current multimedia audio, the type parameter at least includes an audio type, and the characteristic parameter at least includes a rhythm parameter, a melody parameter, and a style parameter.
[0070] Specifically, the voice content or multimedia audio content issued by the user can be deeply analyzed through natural language processing and / or audio feature extraction. For voice, keywords can be extracted, semantics can be analyzed, and user emotional tendency can be determined; for multimedia audio, audio type (such as music, video, game, etc.) and its characteristics (such as rhythm, melody, style, etc.) can be identified. For example, for the voice instruction "navigate to the airport", the keywords "navigate" and "airport" are extracted, and the type of the instruction is determined as navigation interaction; for a rock music with strong rhythm, the music type is identified as rock, and the rhythm characteristic is fast and strong.
[0071] S4, selecting optimal sound effect parameters from a user preference sound effect database according to vehicle scene information, type parameters, and characteristic parameters, and playing in-vehicle prompt sound based on at least the optimal sound effect parameters.
[0072] The user preference sound effect database can store a variety of sound effect resources, and be classified and managed according to in-vehicle and out-of-vehicle scenes, interaction content types, and sound effect styles, etc. For example, for navigation prompt sound effects in the vehicle scene, there are various choices of concise and clear, with guiding melody; for out-of-vehicle warning sound effects, there are different types of high loudness, sharp and piercing to attract high attention; according to the sound effect style, there are retro style, modern electronic style, natural sound effect style, etc.
[0073] Further, combined with the scene information obtained by scene perception, the content features obtained by interaction content analysis, and the user preference model constructed by user preference learning, the optimal sound effect can be screened and recommended from the sound effect database module. For example, when the scene is a noisy night outside the car, the interaction content is an emergency safety prompt, the user preference model shows that the user prefers strong and direct sound effects, the user frequently selects sound effects with strong bass effects and often increases the volume, an emergency prompt sound effect with high loudness, sharpness and strong rhythm can be recommended, and the low frequency component of the prompt sound is increased.
[0074] The technical solution provided by the embodiment first establishes a user preference sound effect database; further, real-time vehicle environment parameters are obtained to output vehicle scene information based on the vehicle environment parameters; further, at least in response to the input of the current user instruction or the current multimedia audio, the type parameter and the feature parameter of the current user instruction or the current multimedia audio are determined accordingly; finally, the optimal sound effect parameter is selected from the user preference sound effect database according to the vehicle scene information, the type parameter and the feature parameter, and the in-vehicle prompt sound is played based at least on the optimal sound effect parameter.
[0075] Therefore, on the basis of the vehicle driving state and the driving scene, the embodiment can recommend a targeted sound effect according to the importance or emergency degree of the prompt sound, so that the driver can quickly and accurately identify the nature of the prompt information, improve the response speed to the key prompt, and enhance the driving safety. On the other hand, the embodiment fully considers the user's preference for the sound effect of the prompt sound, and can provide the user with a prompt sound that meets the user's personal preference, improve the user's acceptance of the prompt sound and driving comfort, and reduce the boredom or neglect caused by the inadaptability of the prompt sound. On the other hand, the embodiment can adjust the data in real time according to the change of the vehicle scene to automatically adjust the volume and other parameters of the prompt sound, so that the prompt sound can be clearly conveyed to the driver in various driving environments and is not disturbed by external factors.
[0076] Figure 3 is a structural schematic diagram of an in-vehicle prompt sound effect recommendation device provided by the embodiment of the present application. The embodiment is at least applicable to in-vehicle prompt scenes of various vehicles, such as fuel vehicles, oil-electric hybrid vehicles, plug-in hybrid electric vehicles, and pure electric vehicles. The in-vehicle prompt sound effect recommendation device can be realized in the form of software and / or hardware. As shown in the figure, the in-vehicle prompt sound effect recommendation device at least includes: Figure 3
[0077] The database establishment module 110 is configured to establish a user preference sound effect database.
[0078] The scene information output module 120 is configured to obtain real-time vehicle environment parameters to output vehicle scene information based on the vehicle environment parameters.
[0079] The parameter determination module 130 is configured to determine a type parameter and a feature parameter of the current user instruction or the current multimedia audio in response to an input of the current user instruction or the current multimedia audio.
[0080] The prompt sound playing module 140 is configured to select optimal sound effect parameters from the user preference sound effect database according to the vehicle scene information, the type parameter and the feature parameter, and play an in-vehicle prompt sound based on at least the optimal sound effect parameters.
[0081] Optionally, the database establishment module 110 is specifically configured to:
[0082] determine, according to the user's vehicle machine historical operation records, a user historical sound effect selection type, a use duration of each user historical sound effect selection type, and a sound effect adjustment parameter after each user historical sound effect selection type is selected;
[0083] establish the user preference sound effect database according to at least the user historical sound effect selection type, the use duration of each user historical sound effect selection type, and the sound effect adjustment parameter after each user historical sound effect selection type is selected.
[0084] Optionally, the database establishment module 110 is further specifically configured to:
[0085] formulate a progressive rule among the user historical sound effect selection types;
[0086] determine a data set of each user historical sound effect selection type according to each user historical sound effect selection type, a use duration of each user historical sound effect selection type, and a sound effect adjustment parameter after each user historical sound effect selection type is selected;
[0087] perform an association operation on a data table of each user historical sound effect selection type in the data set according to the progressive rule, to establish the user preference sound effect database.
[0088] Optionally, in response to an input of the current user instruction, the type parameter at least includes an interaction type, and the feature parameter at least includes a keyword, a to-be-executed semantic and an emotional tendency;
[0089] in response to an input of the current multimedia audio, the type parameter at least includes an audio type, and the feature parameter at least includes a rhythm parameter, a melody parameter and a style parameter.
[0090] Optionally, the scene information output module 120 is specifically configured to:
[0091] at least acquire a vehicle driving state parameter, an environmental noise parameter and an environmental illumination parameter in real time, to output the vehicle scene information based on the vehicle driving state parameter, the environmental noise parameter and the environmental illumination parameter.
[0092] The technical scheme provided by the embodiment first establishes a user preference sound effect database through a database establishment module; further, a vehicle environment parameter is acquired in real time through a scene information output module to output vehicle scene information based on the vehicle environment parameter; further, a type parameter and a feature parameter of a current user instruction or current multimedia audio are determined in response to at least an input of the current user instruction or the current multimedia audio through a parameter determination module; and finally, optimal sound effect parameters are selected from the user preference sound effect database according to the vehicle scene information, the type parameter and the feature parameter through a prompt sound playing module, and prompt sound in the vehicle is played based on at least the optimal sound effect parameters.
[0093] Therefore, the embodiment can recommend targeted sound effects based on the vehicle driving state and driving scene, in combination with the importance or urgency of the prompt sound, so that the driver can quickly and accurately identify the nature of the prompt information, improve the response speed to key prompts, and enhance driving safety. On the other hand, the embodiment fully considers the user's preference for prompt sound effects, can provide prompt sound that meets the user's personal preferences, improve the user's acceptance of prompt sound and driving comfort, and reduce the boredom or neglect caused by unsuitable prompt sound. On the other hand, the embodiment can adjust the data in real time according to the change of the vehicle scene, to automatically adjust the volume and other parameters of the prompt sound, to ensure that the prompt sound can be clearly conveyed to the driver in various driving environments, and is not disturbed by external factors.
[0094] The embodiment provides an electronic device, Figure 4 is a structural schematic diagram of an electronic device provided by the embodiment of the present application, referring to Figure 4 The electronic device 1000 includes a processor 1001 and a memory 1002, and the memory 1002 stores computer readable instructions. When the computer readable instructions are executed by the processor 1001, the steps in any one of the in-vehicle prompt sound effect recommendation methods described above are executed. Through the above technical scheme, the processor 1001 and the memory 1002 are interconnected and communicate with each other through a communication bus and / or other forms of connection mechanism (not marked). The memory 1002 stores a computer program executable by the processor, and when the electronic device 1000 is running, the processor 1001 executes the computer program to execute the in-vehicle prompt sound effect recommendation method in any optional implementation manner of the above embodiment, to at least implement the following functions: establishing a user preference sound effect database; acquiring a vehicle environment parameter in real time to output vehicle scene information based on the vehicle environment parameter; determining a type parameter and a feature parameter of a current user instruction or current multimedia audio in response to at least an input of the current user instruction or the current multimedia audio; selecting optimal sound effect parameters from the user preference sound effect database according to the vehicle scene information, the type parameter and the feature parameter, and playing in-vehicle prompt sound based on at least the optimal sound effect parameters.
[0095] The embodiment provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement a method for recommending in-vehicle prompt sound effects provided by all the embodiments of the application: a user preference sound effect database is established; vehicle environment parameters are acquired in real time to output vehicle scene information based on the vehicle environment parameters; in response to at least a current user instruction or input of current multimedia audio, type parameters and feature parameters of the current user instruction or the current multimedia audio are determined correspondingly; optimal sound effect parameters are selected from the user preference sound effect database according to the vehicle scene information, the type parameters and the feature parameters, and then in-vehicle prompt sound is played based on at least the optimal sound effect parameters.
[0096] Any combination of one or more computer readable medium can be employed. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium can be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
[0097] A computer readable signal medium can include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal can take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium can be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
[0098] Program code embodied on a computer readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire line, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
[0099] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).
[0100] The above examples are merely intended for describing the technical solutions of the present application, but not for limiting the same; even though the present application has been described in detail with reference to the foregoing examples, it should be understood by those skilled in the art that the technical solutions recorded in the foregoing examples can be modified, or some of the technical features can be replaced by equivalent ones; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A method for constructing a sound effect database based on user preferences, characterized in that: At least: Determining at least a user's historical sound effect selection type, a usage duration of each user's historical sound effect selection type, and a sound effect adjustment parameter after each user's historical sound effect selection type is selected based on the user's vehicle computer historical operation record; A user preference sound effect database is established at least based on the user's historical sound effect selection types, the usage time of each of the user's historical sound effect selection types, and the sound effect adjustment parameters after each of the user's historical sound effect selection types is selected.
2. The method for constructing a sound effect database based on user preferences according to claim 1, wherein: The establishing of a user preferred sound effect database based on at least the user's historical sound effect selection types, the usage duration of each of the user's historical sound effect selection types, and the sound effect adjustment parameters after each of the user's historical sound effect selection types is selected, at least includes: Formulate progressive rules between the types of historical sound effects selected by each user; Determining a data set for each user's historical sound effect selection type based on each user's historical sound effect selection type, the usage duration of each user's historical sound effect selection type, and the sound effect adjustment parameter after each user's historical sound effect selection type is selected; An association operation is performed on the data tables of each of the user's historical sound effect selection types in the data set according to the progressive rule to establish the user preference sound effect database.
3. A method for recommending in-car prompt sound effects, characterized in that: At least comprising the method for constructing a sound effect database based on user preferences as described in any one of claims 1-2; After the user preferred sound effect database is established, the in-vehicle prompt sound effect recommendation method at least further includes: Acquiring vehicle environment parameters in real time to output vehicle scene information based on the vehicle environment parameters; At least in response to a current user instruction or a current multimedia audio input, correspondingly determining a type parameter and a feature parameter of the current user instruction or the current multimedia audio; The optimal sound effect parameters are selected from the user preference sound effect database according to the vehicle scene information, the type parameter and the characteristic parameter, and the in-vehicle prompt sound is played at least based on the optimal sound effect parameters.
4. The method for recommending in-car prompt sound effects according to claim 3, characterized in that: In response to the input of the current user instruction, the type parameter includes at least the interaction type, and the feature parameter includes at least the keyword, the semantics to be executed, and the emotional tendency; In response to the input of the current multimedia audio, the type parameter includes at least the audio type, and the feature parameter includes at least the rhythm parameter, the melody parameter and the style parameter.
5. The method for recommending in-car prompt sound effects according to claim 3, characterized in that: The real-time acquisition of vehicle environment parameters to output vehicle scene information based on the vehicle environment parameters at least includes: At least vehicle driving state parameters, environmental noise parameters and environmental lighting parameters are acquired in real time, so as to output the vehicle scene information based on the vehicle driving state parameters, the environmental noise parameters and the environmental lighting parameters.
6. A device for recommending in-car prompt sound effects, characterized in that: At least: A database building module is used to build a user preference sound effect database; A scene information output module, configured to obtain vehicle environment parameters in real time and output vehicle scene information based on the vehicle environment parameters; a parameter determination module, configured to determine, in response to a current user instruction or a current multimedia audio input, a type parameter and a characteristic parameter of the current user instruction or the current multimedia audio; A prompt sound playing module is used to select the optimal sound effect parameters from the user preference sound effect database according to the vehicle scene information, the type parameter and the characteristic parameter, and then play the in-vehicle prompt sound based at least on the optimal sound effect parameters.
7. The in-car prompt sound effect recommendation device according to claim 6, characterized in that: In response to the input of the current user instruction, the type parameter includes at least the interaction type, and the feature parameter includes at least the keyword, the semantics to be executed, and the emotional tendency; In response to the input of the current multimedia audio, the type parameter includes at least the audio type, and the feature parameter includes at least the rhythm parameter, the melody parameter and the style parameter.
8. The in-car prompt sound effect recommendation device according to claim 6, characterized in that: The scene information output module is specifically configured to: At least vehicle driving state parameters, environmental noise parameters and environmental lighting parameters are acquired in real time, so as to output the vehicle scene information based on the vehicle driving state parameters, the environmental noise parameters and the environmental lighting parameters.
9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, wherein: When the processor executes the program, the steps of the method for recommending in-vehicle prompt sound effects as described in any one of claims 3 to 5 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for recommending in-vehicle prompt sound effects as described in any one of claims 3 to 5 are implemented.