Sound processing method, silent cabin, mobile device, medium and product

Abstract

The present application provides a sound processing method, a silent cabin, a mobile device, a medium and a product, which relate to the technical field of silent devices, and are applied to a voice processing device in a silent cabin. The method comprises: after establishing a communication connection with a mobile device located outside the silent cabin, determining a target working mode from multiple working modes; according to the target working mode, obtaining a sound signal collected by a target microphone among multiple microphones, and processing the sound signal using a sound processing algorithm matching the target working mode; sending the processed sound signal to the mobile device to play the sound signal; different working modes correspond to different target microphones, and / or different working modes correspond to different sound processing algorithms; in this way, by identifying and selecting different working modes, the microphone selection and the sound processing algorithm are dynamically adjusted to adapt to different usage scenarios and needs. This adaptability improves the flexibility of the application, thereby enhancing the user experience.

Description

Technical Field

[0001] The present application relates to the technical field of silent equipment, and in particular to a sound processing method, a silent cabin, a mobile device, a medium and a product. Background Art

[0002] A soundproof cabin is an enclosed space specially designed to control and reduce noise. It is widely used in places that require a quiet environment, such as offices, recording studios, airports, medical institutions, etc.; soundproof cabins usually use high-density sound insulation materials, such as sound insulation boards, sound-absorbing cotton, etc., which can effectively block the introduction of external noise and reduce the leakage of internal sound.

[0003] Since the uses of the silent cabin may be different in different places, how to design a silent cabin that can adapt to multiple uses to meet the needs of different users is an urgent problem to be solved. In related technologies, the silent cabin can be integrated with the control system, allowing the user to adjust the settings of the audio equipment through a simple interface operation.

[0004] However, the control system integrated into the silent cabin may only provide limited preset modes and cannot be adjusted according to the specific needs of the user. It lacks a certain degree of flexibility, which affects the user experience. Summary of the invention

[0005] The present application provides a sound processing method, a silent cabin, a mobile device, a medium and a product, which are used to solve the problem that the control system integrated in the existing silent cabin cannot be adjusted according to the specific needs of the user, lacks a certain flexibility, and affects the user experience.

[0006] In a first aspect, the present application provides a sound processing method, which is applied to a voice processing device in a soundproof cabin, wherein the soundproof cabin includes a cabin body, the voice processing device disposed in the cabin body, and a plurality of microphones; the method includes:

[0007] After establishing a communication connection with a mobile device located outside the silent cabin, determining a target working mode from a plurality of working modes;

[0008] According to the target working mode, acquiring a sound signal collected by a target microphone among the multiple microphones, and processing the acquired sound signal using a sound processing algorithm matching the target working mode;

[0009] Sending the processed sound signal to the mobile device so that the mobile device plays the sound signal;

[0010] Among them, different working modes correspond to different target microphones, and / or different working modes correspond to different sound processing algorithms.

[0011] Optionally, establishing a communication connection with a mobile device located outside the silent cabin includes:

[0012] Acquire identification information of at least one mobile device carried by a user who entered the silent cabin during a historical period; the at least one mobile device has a configuration relationship with the silent cabin;

[0013] After determining that there is a target mobile device outside the silent cabin based on the positioning information of the at least one mobile device, a communication connection with the target mobile device is established based on the identification information of the target mobile device.

[0014] Optionally, establishing a communication connection with a mobile device located outside the silent cabin includes:

[0015] Acquire a near field communication (NFC) signal of a mobile device located outside the silent cabin, and authenticate the mobile device based on the NFC signal;

[0016] After the identity verification is passed, a connection request is sent to the mobile device for pairing and connection;

[0017] After determining that the pairing with the mobile device is successful, a communication connection is established with the mobile device.

[0018] Optionally, according to the target working mode, acquiring a sound signal collected by a target microphone among the multiple microphones, and using a sound processing algorithm matching the target working mode to process the acquired sound signal, including:

[0019] When it is determined that the target working mode is the test mode, determining a target microphone from the multiple microphones according to a test requirement corresponding to the test mode;

[0020] The sound signal in the silent cabin is collected based on the target microphone, and a sound processing algorithm is determined according to the test mode; the sound processing algorithm includes: at least one of an algorithm for identifying a target sound, an algorithm for eliminating noise, and an algorithm for adjusting sound;

[0021] The sound signal is processed based on the sound processing algorithm.

[0022] Optionally, according to the target working mode, acquiring a sound signal collected by a target microphone among the multiple microphones, and using a sound processing algorithm matching the target working mode to process the acquired sound signal, including:

[0023] After determining that the target working mode is the recording guidance mode, in response to a user operation, determining some microphones surrounding the recording device from the plurality of microphones;

[0024] determining a target microphone from the part of microphones according to performance of the part of microphones in capturing sound signals;

[0025] The target microphone collects the sound signal in the silent cabin, and determines a sound processing algorithm according to the recording requirements corresponding to the recording guidance mode; the sound processing algorithm includes: at least one of an algorithm for identifying the target sound, an algorithm for eliminating noise, and an algorithm for adjusting the sound;

[0026] The sound signal is processed based on the sound processing algorithm.

[0027] Optionally, the silent cabin further includes a camera device; and the method further includes:

[0028] Acquire image information captured by the camera device in the silent cabin, and identify at least one user position in the image information;

[0029] determining a target sound source position located in the silent cabin based on the plurality of microphones;

[0030] Based on the target sound source position and the at least one user position, the position of the target user corresponding to the sound signal in the silent cabin is determined.

[0031] Optionally, the soundproof cabin further includes a lighting device; and the method further includes:

[0032] Determining lighting requirements in the silent cabin according to the target working mode;

[0033] The light color and / or light brightness of the lighting device is adjusted according to the determined lighting demand.

[0034] Optionally, the soundproof cabin further includes a ventilation device; and the method further includes:

[0035] determining a ventilation volume in the silent cabin according to the target working mode;

[0036] The ventilation mode of the ventilation device is switched or the ventilation path of the ventilation device is adjusted according to the determined ventilation amount.

[0037] In a second aspect, the present application provides a soundproof cabin, which includes a cabin body, a voice processing device disposed in the cabin body, and a plurality of microphones; the voice processing device is used to implement the method as described in any one of the first aspects.

[0038] In a third aspect, the present application provides a mobile device, which is used to establish a communication connection with the sound chamber as described in the second aspect, so as to receive and play the sound signal processed by the voice processing device in the sound chamber.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method as described in any one of the first aspects.

[0040] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method as described in any one of the first aspects.

[0041] In summary, the present application provides a sound processing method, a silent cabin, a mobile device, a medium and a product, which are applied to a voice processing device in a silent cabin. The silent cabin includes a cabin body, a voice processing device arranged in the cabin body and multiple microphones. The voice processing device can select a suitable target working mode based on the user's selection or automatically detect the current environment and needs, and then determine the target microphone to be used according to the selected target working mode. Furthermore, a sound processing algorithm matching the target working mode is used to process the collected sound signal, such as noise reduction, echo cancellation, gain adjustment and other algorithms to improve the sound quality. Furthermore, the processed sound signal is sent to an external mobile device to play the optimized sound. In this way, the present application dynamically adjusts the microphone selection and sound processing algorithm to adapt to different usage scenarios and needs by identifying and selecting different working modes. This adaptability improves the flexibility of the application, so that the silent cabin can provide adaptive performance in a variety of environments, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0043] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0044] Figure 2 A flowchart of a sound processing method provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the structure of a soundproof cabin provided in an embodiment of the present application;

[0046] Figure 4 A flow chart of a speech processing device provided in an embodiment of the present application;

[0047] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0048] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0049] 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.

[0050] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and the like are used to distinguish the same items or similar items with substantially the same functions and effects. For example, the first device and the second device are only used to distinguish different devices, and their order is not limited. Those skilled in the art can understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not necessarily limit them to be different.

[0051] It should be noted that, in this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0052] In this application, "at least one" means one or more, and "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0053] Since the uses of the silent cabin may be different in different places, in one possible implementation, the silent cabin is integrated with a control system to allow the user to adjust the settings of the audio equipment through a simple interface.

[0054] However, the control system integrated into the quiet cabin may only provide limited preset modes, and users cannot adjust the settings of the quiet cabin according to their personal preferences. The lack of flexibility may cause users to feel uncomfortable or dissatisfied, thus affecting the overall user experience.

[0055] It should be noted that in different environments or occasions, the silent cabin may require different settings to achieve satisfactory results, and a control system that lacks flexibility may not be able to adapt to these changes, resulting in poor use results.

[0056] In response to the above problems, the present application provides a sound processing method, which is applied to a voice processing device in a silent cabin. The silent cabin includes a cabin body, a voice processing device arranged in the cabin body, and multiple microphones. The voice processing device can select a suitable target working mode based on the user's selection or automatically detect the current environment and needs, and then determine the target microphone to be used according to the selected target working mode. Furthermore, a sound processing algorithm matching the target working mode is used to process the collected sound signal, such as noise reduction, echo cancellation, gain adjustment and other algorithms to improve the sound quality. Furthermore, the processed sound signal is sent to an external mobile device to play the optimized sound. In this way, the present application dynamically adjusts the microphone selection and sound processing algorithm to adapt to different usage scenarios and needs by identifying and selecting different working modes. This adaptability improves the flexibility of the application, so that the silent cabin can provide adaptive performance in a variety of environments, thereby improving the user experience.

[0057] For example, Figure 1 A schematic diagram of an application scenario provided in an embodiment of the present application, such as Figure 1 As shown, the application scenario can be applied to various usage scenarios of the silent cabin, and the application scenario includes: a silent cabin 101 and a mobile device 102; the silent cabin 101 includes a cabin body 104, a voice processing device arranged in the cabin body 104, and multiple microphones 103.

[0058] Optionally, taking the recording guidance scenario of the silent cabin as an example, a user 1 records in the silent cabin, and can communicate with a user 2 outside the silent cabin 101 based on a mobile device 102 based on the voice processing device of the silent cabin 101; since the silent cabin 101 is a soundproof enclosed space, communication between users inside and outside the silent cabin 101 requires the use of a voice processing device, a microphone 103 and a mobile device 102.

[0059] For example, Figure 1As shown, after the silent cabin 101 establishes a communication connection with the mobile device 102 held by the user 2 and determines that the current target working mode is the working mode in the recording scenario, according to the target working mode, the sound signal collected by the target microphone is obtained from the multiple microphones 103, such as the target microphone is one or more microphones closest to the user 1 in the silent cabin 101, and then the sound signal collected by the one or more microphones is obtained, and a sound processing algorithm matching the target working mode, such as a decoupling algorithm, is used to process the sound signal to reduce crosstalk between the microphones, and then the processed sound signal is sent to the mobile device 102, so that the mobile device 102 plays the sound signal to the user 2.

[0060] It can be understood that in order to achieve communication between user 2 and other users, it can also be implemented based on the voice processing device, microphone 103 and mobile device 102. For example, user 2 sends a sound signal to the voice processing device for processing based on the mobile device 102, and processes the acquired sound signal based on a sound processing algorithm matching the target working mode, and then sends the processed sound signal to the target microphone so that the target microphone plays the sound signal. The embodiment of the present application does not limit the specific processing process, which is the reverse processing process of the sound processing method provided in the embodiment of the present application.

[0061] Optionally, the speech processing device may be a processing device with an interface, and the embodiment of the present application does not specifically limit the type of the speech processing device.

[0062] It should be noted that the mobile device can be a terminal device that can realize communication, such as a smart terminal, a smart intercom, etc. In actual applications, the mobile device is, for example: a desktop computer, a notebook, a personal digital assistant (PDA), a smart phone, a tablet computer, a wearable device (such as a smart watch, a smart bracelet), a smart home device (such as a smart display device), etc. The embodiments of the present application do not specifically limit this.

[0063] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0064] Figure 2 A flow chart of a sound processing method provided in an embodiment of the present application is shown as follows: Figure 2As shown, the execution subject of the sound processing method may be a voice processing device in a soundproof cabin, the soundproof cabin includes a cabin body, the voice processing device arranged in the cabin body, and a plurality of microphones; the sound processing method includes the following steps:

[0065] S201, after establishing a communication connection with a mobile device located outside the silent cabin, determining a target working mode from multiple working modes.

[0066] In the embodiment of the present application, the voice processing device in the silent cabin establishes a communication connection with an external mobile device, which can be achieved through wireless technology, such as Bluetooth, Wireless Fidelity (Wi-Fi) or other wireless communication technologies, and the embodiment of the present application does not specifically limit this.

[0067] In this step, after establishing a communication connection with the mobile device, the voice processing device can select a target working mode from multiple preset working modes. The preset modes are designed for different usage scenarios, such as testing scenarios, multi-party collaboration scenarios, director command scenarios, recording guidance scenarios, etc. Different scenarios correspond to different working modes, and the embodiments of the present application do not specifically limit this.

[0068] S202: Acquire a sound signal collected by a target microphone among the multiple microphones according to the target working mode, and process the acquired sound signal using a sound processing algorithm that matches the target working mode.

[0069] Among them, different working modes correspond to different target microphones, and / or different working modes correspond to different sound processing algorithms.

[0070] In an embodiment of the present application, a plurality of microphones are provided in the soundproof cabin to optimize sound collection in different scenarios. The plurality of microphones may be evenly distributed on the walls, ceiling or other surfaces of the soundproof cabin to evenly capture sounds from all directions. The plurality of microphones may also be arranged in a ring or circle, or movable or adjustable microphones may be deployed to dynamically adjust the position of the microphones as needed. The embodiment of the present application does not specifically limit the deployment position of the microphones in the soundproof cabin, and the microphones may be deployed based on application scenarios or user needs.

[0071] In this step, according to the selected target working mode, the target microphone to be used is determined, and then the sound signal in the environment is collected based on the target microphone. Furthermore, the collected sound signal is processed by a sound processing algorithm that matches the target working mode. The sound processing algorithm may include a noise reduction algorithm, an echo cancellation algorithm, a gain control algorithm, a speech enhancement algorithm, a spectrum analysis algorithm, etc., which is not specifically limited in the embodiments of the present application.

[0072] It should be noted that different working modes correspond to different sound processing algorithms. For example, the sound processing algorithms corresponding to the recording guidance mode in the recording guidance scenario may be an automatic tuning algorithm and a decoupling algorithm.

[0073] S203: Send the processed sound signal to the mobile device, so that the mobile device plays the sound signal.

[0074] In this step, the processed sound signal is sent to an external mobile device so that it can play the optimized sound.

[0075] It can be understood that by connecting with a mobile device, the user can conveniently control and adjust the voice processing device without having to perform complicated operations directly in the silent cabin.

[0076] In this way, by designing specific working modes for different usage scenarios, sound processing can be optimized according to specific needs. For example, in a multi-person collaboration scenario, better noise suppression and speech separation may be required, while in a recording guidance scenario, higher sound quality may be required. Therefore, for different scenarios, a suitable working mode can be selected to process the sound signal, so that different microphones and processing algorithms can be selected according to different scenarios, providing a more flexible and adaptable sound processing method, thereby significantly improving the clarity and quality of the sound, reducing background noise and echo, and users can also select different working modes according to their needs to obtain better sound processing effects and enhance the overall usage experience.

[0077] Optionally, establishing a communication connection with a mobile device located outside the silent cabin includes:

[0078] Acquire identification information of at least one mobile device carried by a user who entered the silent cabin during a historical period; the at least one mobile device has a configuration relationship with the silent cabin;

[0079] After determining that there is a target mobile device outside the silent cabin based on the positioning information of the at least one mobile device, a communication connection with the target mobile device is established based on the identification information of the target mobile device.

[0080] In an embodiment of the present application, the identification information may refer to the device's Media Access Control (MAC) address, device identifier (ID) or other unique identifier, which is used to identify the mobile device so that a configuration relationship exists between the mobile device and the silent cabin. The configuration relationship can be established through a previous pairing or registration process, and the embodiment of the present application does not specifically limit this.

[0081] Exemplarily, the positioning information of the mobile device is used to determine the current location of the device. The positioning information can be obtained through the Global Positioning System (GPS), Wi-Fi signals, Bluetooth beacons, etc. The embodiment of the present application does not specifically limit the method of obtaining the positioning information; further, if it is detected that the target mobile device is outside the soundproof cabin, it means that the user may need to interact with the inside of the cabin from outside the cabin. At this time, after confirming that the target mobile device is outside the soundproof cabin, a communication connection can be automatically established with it based on the identification information of the mobile device.

[0082] Among them, real-time connection can be made based on positioning information, ensuring that users can quickly interact with devices in the silent cabin when needed.

[0083] In this way, the present application can simplify the operation process and improve the user experience by automatically identifying and connecting related devices without the need for users to manually pair or connect. Among them, historical data and configuration relationships are utilized to provide personalized services and settings, avoid unnecessary connections and interference, meet the specific needs of users, and only establish connections with known and configured devices, which can improve security and prevent unauthorized device access.

[0084] Optionally, establishing a communication connection with a mobile device located outside the silent cabin includes:

[0085] Acquire a near field communication (NFC) signal of a mobile device located outside the silent cabin, and authenticate the mobile device based on the NFC signal;

[0086] After the identity verification is passed, a connection request is sent to the mobile device for pairing and connection;

[0087] After determining that the pairing with the mobile device is successful, a communication connection is established with the mobile device.

[0088] In an embodiment of the present application, Near Field Communication (NFC) is a short-range wireless communication technology used for fast data exchange and identity authentication between devices. The NFC technology allows fast and simple identity authentication and connection establishment, so the user only needs to bring the mobile device close to the NFC sensing area of ​​the silent cabin to complete the operation.

[0089] In this step, the voice processing device in the silent cabin can detect the NFC signal emitted by the mobile device outside the cabin. For example, a user holds the mobile device and swipes it on the access control device corresponding to the voice processing device in the silent cabin, so that the voice processing device can detect the NFC signal. Furthermore, after detecting the NFC signal, the received NFC signal can be used to authenticate the mobile device. After the authentication of the mobile device is passed, the voice processing device can send a connection request to the mobile device to start the pairing process between the devices. After confirming that the pairing and connection with the mobile device are successful, a communication connection is established with the mobile device.

[0090] The pairing process may include exchanging keys or other security credentials to establish a secure communication channel. The embodiment of the present application does not specifically limit the pairing process and the method of obtaining NFC signals for identity authentication. The above is only an example.

[0091] In this way, the present application performs identity authentication through NFC, which can ensure that only authorized devices are connected to the voice processing device of the silent cabin, prevent unauthorized access, improve the reliability and stability of the wireless connection, and users do not need to perform complicated settings or enter passwords, which simplifies the connection process and improves the user experience.

[0092] Optionally, according to the target working mode, acquiring a sound signal collected by a target microphone among the multiple microphones, and using a sound processing algorithm matching the target working mode to process the acquired sound signal, including:

[0093] When it is determined that the target working mode is the test mode, determining a target microphone from the multiple microphones according to a test requirement corresponding to the test mode;

[0094] The sound signal in the silent cabin is collected based on the target microphone, and a sound processing algorithm is determined according to the test mode; the sound processing algorithm includes: at least one of an algorithm for identifying a target sound, an algorithm for eliminating noise, and an algorithm for adjusting sound;

[0095] The sound signal is processed based on the sound processing algorithm.

[0096] In an embodiment of the present application, the current target operating mode is identified as a test mode. This can be determined by manual selection by the user, or it can be automatically detected based on the environment or task. The embodiment of the present application does not specifically limit the method for determining the target operating mode.

[0097] In this step, one or more target microphones can be selected from multiple microphones according to the specific requirements of the test mode. The selection of the target microphone may be based on its position, directionality, sensitivity and other characteristics to ensure that the sound collection effect meets the requirements of the test mode. The embodiment of the present application does not specifically limit the number of selected target microphones.

[0098] Furthermore, the target microphone collects sound signals in the silent cabin, and the sound signals may include voice, environmental noise or other audio data, etc. The embodiment of the present application does not limit the specific content of the sound signal, which depends on the purpose of the test.

[0099] Then, according to the requirements of the test mode, select the appropriate sound processing algorithm, such as the algorithms including: spectrum analysis algorithm, noise elimination algorithm, echo elimination algorithm and sound adjustment algorithm; among them, the spectrum analysis algorithm is used to analyze the frequency components of the sound to identify the target user; the noise elimination algorithm is used to remove background noise to highlight the target sound; the echo elimination algorithm is used to reduce the interference caused by sound reflection; the sound adjustment algorithm is used to adjust the dynamic range of the sound signal, such as volume, frequency response, etc., to meet the test requirements.

[0100] Furthermore, the collected sound signals are processed using a selected sound processing algorithm, such as one or more of the above algorithms. Thus, the quality of the sound signals can be improved by processing the sound signals using the algorithm, making the target sound clearer and easier to analyze.

[0101] It can be understood that the test modes in the present application may include working modes in various scenarios such as audio equipment testing and speech recognition system development. For example, the test mode refers to the working mode corresponding to testing the performance of audio devices such as headphones, microphones, speakers, etc., or testing communication equipment such as walkie-talkies and mobile phones. The sound quality and signal processing capabilities are tested to test the clarity and reliability of the equipment in different environments.

[0102] In this way, the present application can optimize for different test requirements by selecting appropriate microphones and processing algorithms to ensure the accuracy and reliability of the test results, and can dynamically adjust microphone selection and algorithm application according to different test modes, thereby improving the flexibility and adaptability of the application.

[0103] Optionally, according to the target working mode, acquiring a sound signal collected by a target microphone among the multiple microphones, and using a sound processing algorithm matching the target working mode to process the acquired sound signal, including:

[0104] After determining that the target working mode is the recording guidance mode, in response to a user operation, determining some microphones surrounding the recording device from the plurality of microphones;

[0105] determining a target microphone from the part of microphones according to performance of the part of microphones in capturing sound signals;

[0106] The target microphone collects the sound signal in the silent cabin, and determines a sound processing algorithm according to the recording requirements corresponding to the recording guidance mode; the sound processing algorithm includes: at least one of an algorithm for identifying the target sound, an algorithm for eliminating noise, and an algorithm for adjusting the sound;

[0107] The sound signal is processed based on the sound processing algorithm.

[0108] In the embodiment of the present application, the current working mode is identified as the recording guidance mode, which can be selected by the user through the interface or automatically detected according to the task requirements. The embodiment of the present application does not make any specific limitations on this.

[0109] Exemplarily, in response to user operations, some microphones surrounding the recording device are selected from multiple microphones, and then one or more target microphones are further determined based on the performance of some microphones in capturing sound signals. This determination process can select a microphone suitable for recording by evaluating the signal quality, sensitivity, noise level, etc. of the microphones.

[0110] Furthermore, the target microphone collects sound signals in the silent cabin, and the sound signals may include voices, instrument sounds or other audio content. The embodiment of the present application does not limit the specific content of the sound signals, which depends on the specific purpose of the recording guidance.

[0111] According to the requirements of the recording guidance mode, select the appropriate sound processing algorithm, such as the algorithms including: specific audio event detection algorithm, noise reduction processing algorithm, decoupling algorithm and automatic tuning algorithm, etc.; among them, the specific audio event detection algorithm is used to detect and identify specific sound signals to ensure the accuracy of the recording; the noise reduction processing algorithm is used to reduce the interference of background noise and environmental noise and improve the clarity of the recording; the decoupling algorithm is used to reduce the crosstalk between microphones; the automatic tuning algorithm is used to correct the singer's pitch deviation and ensure the pitch to meet the quality requirements of the recording.

[0112] Furthermore, the collected sound signal is processed using a selected sound processing algorithm, such as one or more of the above algorithms. In this way, the quality of the recorded signal can be improved by processing the sound signal using the algorithm, making the target sound clearer and more natural.

[0113] It should be noted that the method of the embodiment of the present application can be applied to a variety of recording scenarios, such as music recording, voice recording, podcast production, etc. Optionally, the present application can also be applied to other scenarios, such as telephone conferences and video conferences, user learning and training scenarios, etc. The embodiment of the present application does not limit the specific application scenarios.

[0114] In this way, the present application can optimize the needs of recording guidance by selecting appropriate microphones and processing algorithms to ensure high quality and accuracy of recordings, and can dynamically adjust microphone selection and algorithm application according to different recording needs, providing greater flexibility and adaptability. In particular, users can choose different settings according to specific recording needs, so that the sound signal can be automatically optimized, simplifying the operation process and improving the user experience.

[0115] Based on the above method, it is also necessary to combine the structure of the silent cabin, optionally, Figure 3 A schematic diagram of the structure of a soundproof cabin provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the soundproof cabin includes a cabin body, a voice processing device arranged in the cabin body, and a plurality of microphones; the voice processing device is used to implement the method described in the above embodiment.

[0116] It can be understood that the design of the silent cabin not only improves the quality and efficiency of sound processing, but also provides users with a versatile, comfortable and safe audio interaction environment.

[0117] It should be noted that the specific implementation principles and effects of the above-mentioned silent cabin can be found in the relevant descriptions and effects corresponding to the above-mentioned embodiments, and will not be elaborated here.

[0118] Optionally, to accurately locate the target user in the silent cabin, such as Figure 3 As shown, the silent cabin also includes a camera device; the method also includes:

[0119] Acquire image information captured by the camera device in the silent cabin, and identify at least one user position in the image information;

[0120] determining a target sound source position located in the silent cabin based on the plurality of microphones;

[0121] Based on the target sound source position and the at least one user position, the position of the target user corresponding to the sound signal in the silent cabin is determined.

[0122] The camera device is used to capture images in the silent cabin to obtain real-time image information, which is used to identify the user's position in the cabin.

[0123] Exemplarily, at least one user position in the image information can be identified through image processing technology. The identification method includes facial recognition, posture detection or other visual analysis to determine the specific position of the user in the cabin. The embodiment of the present application does not specifically limit the recognition algorithm. It can refer to an existing recognition algorithm or redefine a new algorithm.

[0124] Furthermore, by utilizing an array of multiple microphones, the target sound source position in the soundproof cabin is determined by comparing information such as the time difference and intensity difference of sound signals arriving at different microphones. This can be determined based on beamforming and sound source localization algorithms. Then, the voice processing device matches the target sound source position with the identified user position to determine the position of the target user corresponding to the sound signal in the soundproof cabin, so that it can be identified which user is speaking or making a sound.

[0125] It can be understood that the above method can identify and distinguish the positions and voices of multiple users, and is suitable for multi-person interaction scenarios, such as meetings or collaborative environments. Therefore, the method of the present application can also be suitable for complex interaction scenarios, such as multi-person meetings, distance education or virtual reality applications, etc., to provide a more natural and smooth user experience.

[0126] Therefore, by combining visual and sound signals, the present application can more accurately locate the sound source and improve the accuracy and effect of sound processing.

[0127] Optional, to meet the lighting requirements in the silent cabin, such as Figure 3 As shown, the silent cabin also includes a lighting device; the method also includes:

[0128] Determining lighting requirements in the silent cabin according to the target working mode;

[0129] The light color and / or light brightness of the lighting device is adjusted according to the determined lighting demand.

[0130] In an embodiment of the present application, the lighting requirements in the silent cabin can be determined according to the current target working mode, such as conference mode, recording mode, rest mode, etc. The lighting requirements involve adjustments to the light color, brightness, and dynamic changes of the light. For example, in conference mode, bright white light may be required to promote concentration and a clear visual environment; in rest mode, soft warm light may be required to create a relaxing atmosphere; in recording mode, uniform light may need to be provided to ensure high-quality recording; in test mode, focused lighting may be required to highlight the display area. The embodiment of the present application does not limit the lighting requirements corresponding to different working modes, and can be set based on actual scenarios.

[0131] In this step, the light color and / or light brightness of the lighting device can be automatically adjusted according to the determined lighting needs. For example, real-time light adjustment can be achieved through wireless control technology, such as Bluetooth or Wi-Fi. The embodiment of the present application does not specifically limit the implementation method of light adjustment.

[0132] Optionally, the brightness and color can be adjusted according to actual needs to reduce unnecessary energy consumption and achieve energy saving and environmental protection.

[0133] In this way, the embodiment of the present application can adjust the lighting according to the working mode, so that users can work or rest in a suitable light environment, improving the overall experience and comfort. This flexible lighting control can be applied to a variety of application scenarios to meet the needs of different users.

[0134] In some embodiments, the silent cabin also includes a light sensor; the method also includes: after detecting that a user has entered the silent cabin, using the light sensor to detect the ambient light intensity at the location of the target user; and adjusting the light intensity and color temperature of the lighting device according to the detected ambient light intensity.

[0135] In this way, the present application can also automatically detect when a user enters a silent cabin and adjust the lighting according to the real-time ambient light intensity. This automated adjustment reduces the need for manual settings by the user, provides a more convenient experience, and can provide personalized lighting settings based on the specific light environment of the user's location to meet the preferences and needs of different users.

[0136] Optionally, to achieve ventilation requirements in the silent cabin, such as Figure 3 As shown, the silent cabin also includes a ventilation device; the method also includes:

[0137] determining a ventilation volume in the silent cabin according to the target working mode;

[0138] The ventilation mode of the ventilation device is switched or the ventilation path of the ventilation device is adjusted according to the determined ventilation amount.

[0139] In an embodiment of the present application, the ventilation requirements in the silent cabin can be determined according to the current target working mode, such as meeting mode, recording mode, rest mode, etc. The ventilation requirements involve ventilation volume, air flow path and ventilation mode, such as natural ventilation, forced ventilation, etc.

[0140] For example, in some cases, increased ventilation may introduce external noise. If the user is performing static activities in the silent cabin, such as reading, writing, or resting, the ventilation demand may be lower. If the user is performing work that requires physical activity in the silent cabin, such as playing a musical instrument or singing, a higher ventilation demand may be required to help expel excess heat and moisture.

[0141] In this step, the ventilation mode of the ventilation device can be automatically switched or the ventilation path can be adjusted according to the determined ventilation needs, such as changing the fan speed, opening or closing specific vents and air conditioners, and adjusting the air flow direction, etc., to optimize air exchange and flow.

[0142] Optionally, the ventilation mode or ventilation path can be dynamically adjusted according to the target working mode to reduce unnecessary energy consumption, optimize energy use and improve overall efficiency.

[0143] In this way, adjusting the ventilation volume and mode according to the working mode can provide users with a comfortable air environment, and through proper ventilation, the carbon dioxide and other pollutants in the cabin can be effectively discharged, fresh air can be introduced, and the air can be kept fresh and healthy. This flexible ventilation control can be applied to a variety of activity scenarios to meet the needs of different users.

[0144] In some embodiments, the method further includes: after detecting that a user enters the soundproof cabin, determining the number of users located in the soundproof cabin based on image information; and based on the number of users, controlling the ventilation device to switch the ventilation mode of the ventilation device or adjust the ventilation path of the ventilation device.

[0145] In this way, dynamically adjusting the ventilation volume according to the number of users can ensure that there is always an adequate supply of fresh air in the cabin, avoid excessive carbon dioxide concentration, and improve air quality. Since the number of users can be automatically detected and the ventilation settings can be adjusted, user manual intervention can be reduced, providing an intelligent and convenient experience, ensuring a comfortable air environment under different usage conditions, and then based on this personalized ventilation setting, enhancing user experience and satisfaction.

[0146] Optionally, the present application also provides a mobile device, the mobile device is used to communicate with Figure 3 The silent cabin shown establishes a communication connection to receive and play the sound signal processed by the voice processing device in the silent cabin.

[0147] Since the voice processing device in the silent cabin can optimize the sound signals, such as noise reduction, echo cancellation and sound quality enhancement, the mobile device can play high-quality audio after receiving these processed signals, thereby improving the user's auditory experience.

[0148] In the present application, the use of mobile devices increases flexibility, and users can receive and play audio signals anywhere outside the silent cabin. This portability means that users do not have to be limited to the silent cabin, which expands the usage scenarios. In addition, the mobile device can achieve real-time communication with the silent cabin, ensuring the instant transmission and playback of audio signals, which is suitable for scenarios that require real-time interaction and provides a wider range of usage possibilities.

[0149] In the above embodiments, the sound processing method provided by the embodiments of the present application is introduced. In order to realize the functions in the method provided by the embodiments of the present application, the speech processing device as the execution subject may include a hardware structure and / or a software module, and the above functions are realized in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether one of the above functions is executed in the form of a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application and design constraints of the technical solution.

[0150] For example, Figure 4 A schematic diagram of the structure of a speech processing device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the device 400 includes: a determination module 401, which is used to determine a target working mode from multiple working modes after establishing a communication connection with a mobile device located outside the silent cabin;

[0151] A processing module 402 is used to obtain a sound signal collected by a target microphone among the multiple microphones according to the target working mode, and process the obtained sound signal using a sound processing algorithm that matches the target working mode;

[0152] A sending module 403, configured to send the processed sound signal to the mobile device so that the mobile device plays the sound signal;

[0153] Among them, different working modes correspond to different target microphones, and / or different working modes correspond to different sound processing algorithms.

[0154] Optionally, the determination module 401 is specifically configured to:

[0155] Acquire identification information of at least one mobile device carried by a user who entered the silent cabin during a historical period; the at least one mobile device has a configuration relationship with the silent cabin;

[0156] After determining that there is a target mobile device outside the silent cabin based on the positioning information of the at least one mobile device, a communication connection with the target mobile device is established based on the identification information of the target mobile device.

[0157] Optionally, the determination module 401 is specifically configured to:

[0158] Acquire a near field communication (NFC) signal of a mobile device located outside the silent cabin, and authenticate the mobile device based on the NFC signal;

[0159] After the identity verification is passed, a connection request is sent to the mobile device for pairing and connection;

[0160] After determining that the pairing with the mobile device is successful, a communication connection is established with the mobile device.

[0161] Optionally, the processing module 402 is specifically configured to:

[0162] When it is determined that the target working mode is the test mode, determining a target microphone from the multiple microphones according to a test requirement corresponding to the test mode;

[0163] The sound signal in the silent cabin is collected based on the target microphone, and a sound processing algorithm is determined according to the test mode; the sound processing algorithm includes: at least one of an algorithm for identifying a target sound, an algorithm for eliminating noise, and an algorithm for adjusting sound;

[0164] The sound signal is processed based on the sound processing algorithm.

[0165] Optionally, the processing module 402 is specifically configured to:

[0166] After determining that the target working mode is the recording guidance mode, in response to a user operation, determining some microphones surrounding the recording device from the plurality of microphones;

[0167] determining a target microphone from the part of microphones according to performance of the part of microphones in capturing sound signals;

[0168] The target microphone collects the sound signal in the silent cabin, and determines a sound processing algorithm according to the recording requirements corresponding to the recording guidance mode; the sound processing algorithm includes: at least one of an algorithm for identifying the target sound, an algorithm for eliminating noise, and an algorithm for adjusting the sound;

[0169] The sound signal is processed based on the sound processing algorithm.

[0170] Optionally, the silent cabin further includes a camera device; the device 400 further includes a positioning module; the positioning module is used to:

[0171] Acquire image information captured by the camera device in the silent cabin, and identify at least one user position in the image information;

[0172] determining a target sound source position located in the silent cabin based on the plurality of microphones;

[0173] Based on the target sound source position and the at least one user position, the position of the target user corresponding to the sound signal in the silent cabin is determined.

[0174] Optionally, the silent cabin further includes a lighting device; the device 400 further includes a lighting module; the lighting module is used to:

[0175] Determining lighting requirements in the silent cabin according to the target working mode;

[0176] The light color and / or light brightness of the lighting device is adjusted according to the determined lighting demand.

[0177] Optionally, the silent cabin further includes a ventilation device; the device 400 further includes a ventilation module; the ventilation module is used to:

[0178] determining a ventilation volume in the silent cabin according to the target working mode;

[0179] The ventilation mode of the ventilation device is switched or the ventilation path of the ventilation device is adjusted according to the determined ventilation amount.

[0180] It should be noted that the specific implementation principle and effects of the above-mentioned voice processing device can be found in the relevant descriptions and effects corresponding to the above-mentioned embodiments, and will not be elaborated here.

[0181] The present application also provides a schematic diagram of the structure of an electronic device. Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the electronic device can be integrated in a soundproof cabin, and the electronic device may include: a processor 501 and a memory 502 communicatively connected to the processor; the memory 502 stores a computer program; the processor 501 executes the computer program stored in the memory 502, so that the processor 501 executes the method described in any of the above embodiments.

[0182] The memory 502 and the processor 501 may be connected via a bus 503 .

[0183] An embodiment of the present application further provides a computer-readable storage medium, which stores computer program execution instructions. When the computer program execution instructions are executed by a processor, they are used to implement the method described in any of the aforementioned embodiments of the present application.

[0184] An embodiment of the present application further provides a chip for executing instructions, wherein the chip is used to execute the method described in any of the aforementioned embodiments as executed by an electronic device in any of the aforementioned embodiments of the present application.

[0185] An embodiment of the present application further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method described in any of the aforementioned embodiments of the present application executed by an electronic device can be implemented.

[0186] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0187] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

[0188] In addition, each functional module in each embodiment of the present application can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The above-mentioned module-composed unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

[0189] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present application.

[0190] It should be understood that the above processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can be any conventional processor, etc. The steps of the method disclosed in the application can be directly embodied as being executed by a hardware processor, or can be executed by a combination of hardware and software modules in the processor.

[0191] The memory may include high-speed random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk storage, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a disk or an optical disk, etc.

[0192] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0193] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special computer.

[0194] An exemplary storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the storage medium can also exist as discrete components in an electronic device or a main control device.

[0195] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0196] It should be further noted that, although the various steps in the flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0197] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0198] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0199] The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto, and any changes or replacements within the technical scope disclosed in the embodiment of the present application should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application should be based on the protection scope of the claims.

Claims

1. A sound processing method, characterized in that: A voice processing device used in a silent cabin, the silent cabin comprising a cabin body, the voice processing device arranged in the cabin body, and a plurality of microphones; the method comprising: After establishing a communication connection with a mobile device located outside the silent cabin, determining a target working mode from a plurality of working modes; the plurality of working modes are designed for different usage scenarios, including a test mode, a recording guidance mode, a multi-party collaboration mode, and a director command mode; When it is determined that the target working mode is the test mode, determining a target microphone from the multiple microphones according to a test requirement corresponding to the test mode; The sound signal in the silent cabin is collected based on the target microphone, and a sound processing algorithm is determined according to the test mode; the sound processing algorithm includes: at least one of an algorithm for identifying a target sound, an algorithm for eliminating noise, and an algorithm for adjusting sound; Processing the sound signal based on the sound processing algorithm; Sending the processed sound signal to the mobile device so that the mobile device plays the sound signal; Among them, different working modes correspond to different target microphones, and / or different working modes correspond to different sound processing algorithms.

2. The method according to claim 1, characterized in that Establishing a communication connection with a mobile device located outside the silent cabin includes: Acquire identification information of at least one mobile device carried by a user who entered the silent cabin during a historical period; the at least one mobile device has a configuration relationship with the silent cabin; After determining that there is a target mobile device outside the silent cabin based on the positioning information of the at least one mobile device, a communication connection with the target mobile device is established based on the identification information of the target mobile device.

3. The method according to claim 1, characterized in that Establishing a communication connection with a mobile device located outside the silent cabin includes: Acquire a near field communication (NFC) signal of a mobile device located outside the silent cabin, and authenticate the mobile device based on the NFC signal; After the identity verification is passed, a connection request is sent to the mobile device for pairing and connection; After determining that the pairing with the mobile device is successful, a communication connection is established with the mobile device.

4. The method according to claim 1, characterized in that The method further comprises: After determining that the target working mode is the recording guidance mode, in response to a user operation, determining some microphones surrounding the recording device from the plurality of microphones; determining a target microphone from the part of microphones according to performance of the part of microphones in capturing sound signals; The target microphone collects the sound signal in the silent cabin, and determines a sound processing algorithm according to the recording requirements corresponding to the recording guidance mode; the sound processing algorithm includes: at least one of an algorithm for identifying the target sound, an algorithm for eliminating noise, and an algorithm for adjusting the sound; The sound signal is processed based on the sound processing algorithm.

5. The method according to claim 1, characterized in that The silent cabin also includes a camera device; the method also includes: Acquire image information captured by the camera device in the silent cabin, and identify at least one user position in the image information; determining a target sound source position located in the silent cabin based on the plurality of microphones; Based on the target sound source position and the at least one user position, the position of the target user corresponding to the sound signal in the silent cabin is determined.

6. The method according to claim 1, characterized in that The silent cabin further includes a lighting device; and the method further includes: Determining lighting requirements in the silent cabin according to the target working mode; The light color and / or light brightness of the lighting device is adjusted according to the determined lighting demand.

7. The method according to claim 1, characterized in that The silent cabin further includes a ventilation device; and the method further includes: determining a ventilation volume in the silent cabin according to the target working mode; The ventilation mode of the ventilation device is switched or the ventilation path of the ventilation device is adjusted according to the determined ventilation amount.

8. A soundproof cabin, characterized in that: The soundproof cabin includes a cabin body, a voice processing device disposed in the cabin body, and a plurality of microphones; the voice processing device is used to implement the method as described in any one of claims 1-7.

9. A mobile device, characterized in that: The mobile device is used to establish a communication connection with the silent cabin as described in claim 8 to receive and play the sound signal processed by the voice processing device in the silent cabin.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method according to any one of claims 1 to 7.

11. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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