Control method of vehicle sound system and related product

By using sound effect analysis models in the vehicle audio system to generate target sound effect parameters, the problem of difficulty in improving the sound quality of the vehicle audio system in the prior art is solved, and better sound quality and personalized auditory experience are achieved.

CN119697557AActive Publication Date: 2025-03-25ZHEJIANG GEELY HLDG GRP CO LTD +1
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Patent Information

Application Number
CN202411869149.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-25
Estimated Expiration
2044-12-18

AI Technical Summary

Technical Problem

The prior art is difficult to effectively improve the sound quality of vehicle audio systems, and most users lack the professional skills to adjust sound effects parameters.

Method used

By inputting information based on sound source characteristics, vehicle sound source sound field information and audio system information to trained sound effect analysis model, target sound effect parameters are generated, and the sound effect parameters of the sound system are adjusted to achieve the best sound quality.

Benefits of technology

It improves the sound quality of the vehicle audio system and the auditory experience of the driver and passengers, provides a customized audio experience, and meets users' personalized needs for sound effects.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides a vehicle sound system control method and related products, and the method comprises the steps: inputting second information into a trained sound effect analysis model, and obtaining a first sound effect parameter corresponding to a first sound source; the second information is determined based on the first information; the first information at least comprises an audio feature, a singing feature, a music style feature and a distributor feature of the first sound source; determining a second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and sound information of a sound system of the vehicle; determining a target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter; and when the first sound source is played, adjusting the sound effect parameter of the sound system to the target sound effect parameter. The method comprehensively considers the influence of the characteristics of the sound source, the sound source sound field information of the vehicle and the sound information of the vehicle sound system on the sound quality, and can improve the sound quality of the vehicle-mounted sound system and the auditory experience of drivers and passengers.
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Description

Technical Field

[0001] The present application relates to the field of vehicle technology, and in particular to a control method for a vehicle audio system and related products. Background Art

[0002] While driving, most users tend to use the vehicle audio system to play sound sources to enhance the driving experience. The sound quality of the vehicle audio system has a significant impact on the user's driving experience.

[0003] However, currently, the sound quality of the vehicle audio system is mostly improved by users manually adjusting the sound parameters of the vehicle audio system, or by users selecting preset sound parameters. However, most users lack the professional skills required to adjust the sound parameters. Based on the current methods, the sound quality of the vehicle audio system cannot be effectively improved.

[0004] How to improve the sound quality of the vehicle audio system and the auditory experience of drivers and passengers has become an urgent problem to be solved. Summary of the invention

[0005] The main purpose of the embodiments of the present application is to provide a control method for a vehicle audio system and related products, aiming to improve the sound quality of the vehicle audio system and the auditory experience of the driver and passengers.

[0006] The present application provides a control method for a vehicle audio system, comprising: inputting second information into a trained sound effect analysis model to obtain first sound effect parameters corresponding to a first sound source; the second information is determined based on the first information; the first information at least includes audio features, singing features, music style features and instrumentation features of the first sound source; determining second sound effect parameters corresponding to the first sound source according to sound source sound field information of the vehicle and audio information of the vehicle's audio system; the sound source sound field information includes sound source sound field height and sound source sound field position; the audio information includes audio type and layout, as well as audio power allocation parameters; determining target sound effect parameters corresponding to the first sound source according to the first sound effect parameters and the second sound effect parameters; and adjusting the sound effect parameters of the audio system to the target sound effect parameters when the first sound source is played.

[0007] In one embodiment, before determining the second sound effect parameter corresponding to the first sound source based on the sound source sound field information of the vehicle and the sound information of the sound system of the vehicle, the control method also includes: determining the sound source sound field position based on the distribution position of the driver and passengers; determining the sound source sound field height based on the ear height of the driver and passengers; and determining the sound power distribution parameter based on the link relationship between the power amplifier channel of the sound system and each sound in the sound system, the number of the power amplifier channels, the sound source sound field position, and the sound source sound field height.

[0008] In one embodiment, the first sound effect parameters include at least one type of sound effect parameters and first values ​​of each type of sound effect parameters; the second sound effect parameters include positioning accuracy and a second value of the positioning accuracy; the target sound effect parameters include at least one type of sound effect parameters and target values ​​of each type of sound effect parameters; determining the target sound effect parameters corresponding to the first sound source based on the first sound effect parameters and the second sound effect parameters includes: for each type of sound effect parameters in the first sound effect parameters, determining the target value of the sound effect parameter based on the relationship between the sound effect parameter and the positioning accuracy, as well as the first value of the sound effect parameter and / or the second value of the positioning accuracy.

[0009] In one embodiment, the target value of the sound effect parameter is determined based on the relationship between the sound effect parameter and the positioning accuracy, as well as the first value of the sound effect parameter and / or the second value of the positioning accuracy, including: when the sound effect parameter is the positioning accuracy, the second value of the positioning accuracy is determined as the target value of the sound effect parameter; when the sound effect parameter is related to the positioning accuracy, the target value of the sound effect parameter is determined based on the first value of the sound effect parameter and the second value of the positioning accuracy; when the sound effect parameter is unrelated to the positioning accuracy, the first value of the sound effect parameter is determined as the target value of the sound effect parameter.

[0010] In one embodiment, before inputting the second information into the trained sound effect analysis model to obtain the first sound effect parameters corresponding to the first sound source, the control method also includes: obtaining a training data set, wherein the training data set includes multiple training samples, each of the training samples includes a third information and a playback sound effect parameter corresponding to the second sound source; the third information is determined based on the fourth information; the fourth information at least includes the audio features, singing features, music style features and orchestration features of the second sound source; for each of the training samples, the following steps are performed respectively: inputting the training sample into the sound effect analysis model to obtain the predicted sound effect parameters of the vehicle audio system; determining the loss function value of the sound effect analysis model based on the predicted sound effect parameters and the playback sound effect parameters; when the loss function value does not meet the training stop condition, adjusting the model parameters of the sound effect analysis model to obtain an updated sound effect analysis model, and using the next training sample to train the updated sound effect analysis model until the training stop condition is met to obtain a trained sound effect analysis model.

[0011] In one embodiment, the audio type and layout include the type, installation position, installation direction and number of each type of audio in the audio system; before the second information is input into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source, the control method also includes: when the second information is a vector, generating a user preference vector according to the user's song preference information; and / or when the second information is a vector, generating an audio parameter vector according to the type of each audio and the number of each type of audio, and generating a vehicle space vector according to the installation position and installation direction of each audio; wherein the second information includes an audio feature vector generated based on the audio features, singing features, music style features and orchestration features of the first sound source, and also includes the user preference vector, and / or the audio parameter vector and the vehicle space vector.

[0012] The present application also provides a control device for a vehicle audio system, comprising a first sound effect module, a second sound effect module, a third sound effect module and a sound effect adjustment module; the first sound effect module is used to input the second information into a trained sound effect analysis model to obtain a first sound effect parameter corresponding to a first sound source; the second information is determined based on the first information; the first information at least includes the audio features, singing features, music style features and instrumentation features of the first sound source; the second sound effect module is used to determine the second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound information of the sound system of the vehicle; the sound source sound field information includes the sound source sound field height and the sound source sound field position; the sound information includes the sound type and layout, as well as the sound power allocation parameters; the third sound effect module is used to determine the target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter; the sound effect adjustment module is used to adjust the sound effect parameters of the sound system to the target sound effect parameters when playing the first sound source.

[0013] The present application also provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the control method of the vehicle audio system when executing the computer program.

[0014] The present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the control method of the vehicle audio system is implemented.

[0015] The present application also provides a computer program product, which is stored in a storage medium and implements the above-mentioned vehicle audio system control method when the computer program product is executed by at least one processor.

[0016] The present application provides a control method and related products for a vehicle audio system, which obtains first sound effect parameters corresponding to a first sound source by inputting second information determined based on first information into a trained sound effect analysis model, wherein the first information at least includes audio features, singing features, music style features and instrumentation features of the first sound source, and determines second sound effect parameters corresponding to the first sound source based on sound source sound field information of the vehicle and audio information of the vehicle's audio system, and determines target sound effect parameters corresponding to the first sound source based on the first sound effect parameters and the second sound effect parameters, and adjusts the audio effect parameters of the audio system to the target sound effect parameters when the first sound source is played, comprehensively considering the effects of the characteristics of the sound source itself, the sound source sound field information of the vehicle and the audio information of the vehicle's audio system on the sound quality, and can improve the sound quality of the vehicle audio system and the auditory experience of the driver and passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of a method for controlling a vehicle audio system provided in an embodiment of the present application;

[0018] Figure 2 The specific process diagram of the vehicle audio system control method provided in the embodiment of the present application is as follows: Figure 1 ;

[0019] Figure 3 The specific process diagram of the vehicle audio system control method provided in the embodiment of the present application is as follows: Figure 2 ;

[0020] Figure 4 The specific process diagram of the vehicle audio system control method provided in the embodiment of the present application is as follows: Figure 3 ;

[0021] Figure 5 is a schematic diagram of the structure of a control device for a vehicle audio system provided in an embodiment of the present application;

[0022] Figure 6 is a schematic diagram of the structure of an embodiment of an electronic device provided in an embodiment of the present application;

[0023] Figure 7 It is a structural schematic diagram of another embodiment of the electronic device provided by the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0025] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0026] The control method of the vehicle audio system provided in the embodiment of the present application can be applied to the terminal, can also be applied to the server side, and can also be software running in the terminal or the server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or a server cluster or distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the control method of the vehicle audio system, etc., but is not limited to the above forms.

[0027] The control method of the vehicle audio system provided by the embodiment of the present application is described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0028] See also Figure 1 , a control method of a vehicle audio system provided by an embodiment of the present application may include:

[0029] Step S101: input the second information into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source; the second information is determined based on the first information; the first information at least includes the audio features, singing features, music style features and instrumentation features of the first sound source;

[0030] Step S102: determining a second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound system sound information of the vehicle; the sound source sound field information includes the sound source sound field height and the sound source sound field position; the sound system sound information includes the sound system type and layout, and the sound system power allocation parameter;

[0031] Step S103: determining a target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter;

[0032] Step S104: When playing the first sound source, adjusting the sound effect parameters of the sound system to target sound effect parameters.

[0033] A control method for a vehicle audio system provided in an embodiment of the present application obtains first sound effect parameters corresponding to a first sound source by inputting second information determined based on first information into a trained sound effect analysis model, wherein the first information at least includes audio features, singing features, music style features and instrumentation features of the first sound source, and determines second sound effect parameters corresponding to the first sound source based on sound source sound field information of the vehicle and audio information of the vehicle's audio system, and determines target sound effect parameters corresponding to the first sound source based on the first sound effect parameters and the second sound effect parameters, and adjusts the sound effect parameters of the audio system to the target sound effect parameters when the first sound source is played, comprehensively considering the effects of the characteristics of the sound source itself, the sound source sound field information of the vehicle and the audio information of the vehicle's audio system on the sound quality, thereby improving the sound quality of the vehicle audio system and the auditory experience of the driver and passengers.

[0034] Optionally, the audio features of the first sound source include file features, statistical features, frequency domain features, and time domain features of the first sound source. The file features may include file formats such as MP3, WAV, and Dolby formats, the statistical features may include file accuracy, sampling rate, and bit depth information, the frequency domain features refer to frequency characteristics obtained by calculating Fourier transform, and may include frequency components and frequency structures, and the time domain features may include duration.

[0035] Optionally, the singing characteristics of the first sound source include the singing language, gender of the singer, number of singers and singing space of the first sound source, wherein the singing space can characterize whether the first sound source is a live singing version or an original version. The music style characteristics of the first sound source can characterize the music style of the first sound source, such as classical music, jazz, pop music, rock music, etc. The instrumentation characteristics of the first sound source can characterize the instrumentation used by the first sound source, such as characteristic ethnic instrumentation, guitar, piano, etc.

[0036] In one embodiment, before inputting the second information into the trained sound effect analysis model in step S101 to obtain the first sound effect parameter corresponding to the first sound source, the control method provided in the embodiment of the present application also includes: obtaining the first sound source; performing feature extraction on the first sound source to determine feature information of the first sound source.

[0037] Optionally, the first sound source is a digital sound source, which may be an audio signal provided by a device such as a car music APP, a car CD, a USB device, a mobile phone connected to the vehicle via Bluetooth, or the like.

[0038] In one embodiment, a preset feature extraction rule can be used to extract features from the first sound source to obtain feature information of the first sound source, or the first sound source can be input into a trained first feature processing model and feature extraction can be performed on the first sound source through the first feature processing model to obtain feature information of the first sound source.

[0039] In one implementation, before extracting features from the first sound source and determining feature information of the first sound source, the control method provided in the embodiment of the present application further includes: preprocessing the first sound source.

[0040] Optionally, the preprocessing includes at least one of removing a DC component, correcting a sampling error, and filtering.

[0041] The embodiment of the present application can ensure the purity of the first sound source by obtaining the first sound source and preprocessing the first sound source, and further improve the accuracy of determining the characteristic information of the first sound source by performing feature extraction on the preprocessed first sound source, so that the vehicle audio system can maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameters determined according to the characteristic information of the first sound source, thereby improving the sound quality of the vehicle audio system and the user's auditory experience.

[0042] Optionally, the first information also includes user listening preference information, and / or the audio type and layout of the vehicle audio system, wherein the audio type and layout include the type, installation location, installation direction and number of each type of audio in the vehicle audio system.

[0043] Among them, the user's listening preference information can represent the user's listening habits, and can be extracted based on the user's operation information during the listening process. The operation information may include sound effect parameter selection information. In actual implementation, the user's listening preference information can be extracted based on the user's operation information related to the selection of sound effect parameters. The operation information can also include music selection information. For example, during the user's listening process, if the number of times the user switches rock songs to other songs exceeds the preset number, the user's preference information that he does not like to listen to rock music can be obtained. For example, in the user's playback history, the proportion of the playback time of singer A's songs is higher than the preset proportion, the user's preference information that he likes to listen to singer A's songs can be obtained.

[0044] The types of the various audios in the vehicle audio system may include at least one of a high frequency audio, a medium frequency audio, and a low frequency audio. The installation direction of the various audios in the vehicle audio system may characterize the directivity of the vehicle audio system, and the installation position of the various audios in the vehicle audio system may characterize the compactness and symmetry of the vehicle audio system. The equalizer setting of the vehicle audio system may be adjusted based on the installation direction and installation position of the various audios in the vehicle audio system to improve the sound quality of the vehicle audio system.

[0045] In one embodiment, before inputting the second information into the trained sound effect analysis model in the above step S101 to obtain the first sound effect parameter corresponding to the first sound source, the control method provided in the embodiment of the present application further includes:

[0046] determining the first information as the second information;

[0047] The second information includes at least characteristic information of the first sound source, and may also include user music preference information, and / or the audio type and layout of the vehicle audio system.

[0048] In another embodiment, before inputting the second information into the trained sound effect analysis model in the above step S101 to obtain the first sound effect parameter corresponding to the first sound source, the control method provided in the embodiment of the present application further includes any of the following:

[0049] Based on preset feature fusion and conversion rules, feature fusion and conversion are performed on the first information to obtain second information;

[0050] The first information is input into the trained second feature processing model, and the second feature processing model is used to perform feature fusion and conversion on the first information to obtain the second information.

[0051] The first feature processing model and the second feature processing model can be the same feature processing model or different feature processing models. Optionally, the first feature processing model and the second feature processing model are the same feature processing model established based on the TensorFlow open source machine learning framework, and the model can include at least one of a recurrent neural network (RNN), a convolutional neural network (CNN), and a deep neural network (DNN). In actual implementation, the dynamic characteristics of the RNN network can be used to record and process the time series characteristics of the first sound source, so as to capture the cyclic characteristics of the first sound source and generate the pre-judgment parameters. The convolution operation of the CNN network can also be used to extract local features from the first sound source and precipitate effective information to provide support for further feature analysis and model training. The DNN network can also be used to learn the deep structure of the first sound source to identify and understand more complex and abstract features in the first sound source. Further, the feature processing model can continuously optimize its own model parameters by learning the inherent laws of the features, and improve the accuracy of feature extraction, feature fusion and conversion.

[0052] Optionally, when the second information is a vector, the second information includes at least an audio feature vector generated based on the audio features, singing features, music style features and orchestration features of the first sound source, and may also include a user preference vector generated based on the user's song preference information, and may also include an audio parameter vector generated based on the type of each audio and the number of each type of audio, as well as a vehicle space vector generated based on the installation position and installation direction of each audio.

[0053] In one embodiment, before inputting the second information into the trained sound effect analysis model in the above step S101 to obtain the first sound effect parameter corresponding to the first sound source, the control method provided in the embodiment of the present application further includes:

[0054] When the second information is a vector, generating a user preference vector according to the user's song preference information; and / or

[0055] When the second information is a vector, an audio parameter vector is generated according to the type of each audio and the number of each type of audio, and a vehicle space vector is generated according to the installation position and installation direction of each audio;

[0056] Among them, the second information includes an audio feature vector generated based on the audio features, singing features, music style features and orchestration features of the first sound source, and also includes a user preference vector, and / or an audio parameter vector and a vehicle space vector.

[0057] Based on the characteristic information of the sound source, the embodiment of the present application can further combine the user preference information, as well as the sound type and layout of the vehicle sound system, to determine the target sound effect parameters, so that the vehicle sound system can not only maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameters, but also meet the user's personalized needs for sound effects, and can also enable the vehicle sound system to enhance the detail performance, dynamic range and sense of direction of the sound source based on the target sound effect parameters, thereby improving the clarity and fullness of the sound quality, and providing a more immersive and realistic listening experience for the driver and passengers.

[0058] like Figure 2As shown, in an application scenario, the first sound source can be input into a trained feature processing model, and the feature processing model is first used to extract features of the first sound source to determine the audio features, singing features, music style features and instrumentation features of the first sound source, and then the audio features, singing features, music style features and instrumentation features of the first sound source are fused and converted through the feature processing model to obtain the audio feature vector of the first sound source. In addition, the user's song preference information can be input into the trained feature processing model to obtain the user preference vector, the type of each audio and the number of each type of audio can be input into the trained feature processing model to obtain the audio parameter vector, and the installation position and installation direction of each audio can be input into the trained feature processing model to obtain the vehicle space vector. Furthermore, the audio feature vector, user preference vector, audio parameter vector and vehicle space vector can be input into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source.

[0059] Optionally, the above-mentioned sound effect analysis model includes a hidden layer, an output layer and an optimizer. Among them, after the audio feature vector, user preference vector, sound parameter vector and vehicle space vector are input into the trained sound effect analysis model, the sound effect analysis model can use the activation function to add nonlinearity (such as ReLU) to the vector of the input sound effect analysis model through the hidden layer, and then use the activation function classification task (such as softmax) to the output result of the hidden layer through the output layer, and then the output result of the output layer can be gradient optimized (such as Adam) through the optimizer, and finally the first sound effect parameter corresponding to the first sound source is output. Before the audio feature vector, user preference vector, sound parameter vector and vehicle space vector are input into the trained sound effect analysis model, the sound effect analysis model can be iteratively trained using classification and gradient algorithms to obtain a trained sound effect analysis model.

[0060] It is worth mentioning that the vector is only an example of a format of the second information that is easy to recognize by the sound effect analysis model, and this application does not limit the format of the second information.

[0061] The embodiment of the present application extracts features, fuses features and converts the first sound source through a trained feature processing model to obtain an audio feature vector of the first sound source, which can improve the efficiency and accuracy of feature extraction, feature fusion and conversion, and can improve the efficiency and accuracy of the sound effect analysis model performing sound effect analysis based on the second information. Further, by generating a user preference vector based on the user's song preference information through a trained feature processing model, and / or by converting the feature processing model based on the type of each sound and the number of each type of sound to generate a sound parameter vector, and generating a vehicle space vector based on the installation position and installation direction of each sound, the efficiency and accuracy of the sound effect analysis model performing sound effect analysis based on the second information can be further improved.

[0062] In one embodiment, before inputting the second information into the trained sound effect analysis model in the above step S101 to obtain the first sound effect parameter corresponding to the first sound source, the control method provided in the embodiment of the present application further includes:

[0063] Obtaining a training data set, wherein the training data set includes a plurality of training samples, each training sample includes a third information and a playback sound effect parameter corresponding to the second sound source; the third information is determined based on the fourth information; the fourth information includes at least an audio feature, a singing feature, a music style feature, and an instrumentation feature of the second sound source;

[0064] For each training sample, perform the following steps:

[0065] Input the training samples into the sound effect analysis model to obtain the predicted sound effect parameters of the vehicle audio system;

[0066] Determine the loss function value of the sound effect analysis model according to the predicted sound effect parameters and the played sound effect parameters;

[0067] When the loss function value does not meet the training stop condition, the model parameters of the sound effect analysis model are adjusted to obtain an updated sound effect analysis model, and the updated sound effect analysis model is trained with the next training sample until the training stop condition is met to obtain a trained sound effect analysis model.

[0068] Among them, the playback sound effect parameters corresponding to the second sound source are the optimal sound effect parameters for playing the second sound source, which are at least related to the characteristic information of the second sound source, and can also be related to the user preference information, and / or the sound type and layout of the vehicle sound system. The sound effect parameters can be obtained through experiments. Specifically, the playback sound effect parameters can be selected based on the correlation between the predicted sound effect parameters and the above information. Exemplarily, when the training sample is determined based on the characteristic information of the second sound source and the user preference information, the predicted sound effect parameters are related to the characteristic information of the second sound source and the user preference information, and the playback sound effect parameters can be selected based on the characteristic information of the second sound source and the user preference information. The second sound source and the above-mentioned first sound source can be the same sound source or different sound sources.

[0069] The embodiment of the present application determines the loss function value of the sound effect analysis model by determining the predicted sound effect parameters and the played sound effect parameters obtained based on the training samples, thereby ensuring the training effect of the sound effect analysis model. By using the trained sound effect analysis model, the efficiency and accuracy of determining the first sound effect parameters corresponding to the first sound source based on the second information can be improved, thereby enabling the vehicle audio system to maximize the restoration of the characteristics of the sound source itself based on the first sound effect parameters or the target sound effect parameters determined based on the first sound effect parameters, and improve the sound quality of the vehicle audio system and the user's auditory experience.

[0070] In one embodiment, before determining the second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound information of the sound system of the vehicle in the above step S102, the control method provided by the embodiment of the present application further includes:

[0071] Determine the sound field position of the sound source according to the distribution position of the drivers and passengers;

[0072] Determine the sound source sound field height according to the ear height of the driver and passengers;

[0073] The audio power distribution parameters are determined based on the link relationship between the audio system's power amplifier channels and the audio systems in the audio system, the number of power amplifier channels, the audio source sound field position, and the audio source sound field height.

[0074] Optionally, the distribution position of the driver and passengers includes the number of the driver and passengers and the position of each driver and passenger. In actual implementation, the camera can be used to collect images in the car, and the distribution position and ear height of the driver and passengers can be obtained by image recognition technology. Further, the sound source sound field position can be obtained by calling a pre-stored sound source sound field position calculation formula and substituting the distribution position of the driver and passengers into the sound source sound field position calculation formula, and the sound source sound field height can be obtained by calling a sound source sound field height calculation formula and substituting the ear height of the driver and passengers into the sound source sound field height calculation formula; the sound power distribution parameter can also be obtained by calling a pre-stored sound power distribution parameter calculation formula and substituting the link relationship between the power amplifier channel of the sound system and each sound in the sound system, the number of power amplifier channels, the sound source sound field position and the sound source sound field height into the sound power distribution parameter calculation formula. In addition, in actual implementation, the distribution positions of the driver and passengers, the height of their ears, the link relationship between the power amplifier channels of the audio system and the audio systems in the audio system, the number of power amplifier channels, the sound source sound field position and the sound source sound field height can also be input into the trained first information processing model to obtain the sound source sound field position, the sound source sound field height and the audio power distribution parameters.

[0075] The embodiments of the present application can accurately determine the location of the sound field of the sound source based on the distribution position of the driver and passengers, can accurately determine the height of the sound field of the sound source based on the ear height of the driver and passengers, and can accurately determine the audio power allocation parameters based on the link relationship between the power amplifier channel of the audio system and each audio in the audio system, the number of power amplifier channels, the location of the sound field of the sound source, and the height of the sound field of the sound source. This ensures that when the first audio source is played with the target sound effect parameters determined by integrating the sound source sound field information of the vehicle and the audio information of the vehicle audio system, the sound field of the first audio source can match the location and ear height of the driver and passenger, thereby providing a customized audio experience for each driver and passenger, and improving the sound quality of the vehicle audio system and the auditory experience of the driver and passenger.

[0076] The second sound effect parameter in the above step S102 can be determined based on the sound source sound field information of the vehicle and the sound information of the vehicle sound system, combined with a preset sound effect determination rule, to determine the second sound effect parameter corresponding to the first sound source. The second sound effect parameter corresponding to the first sound source can also be obtained by inputting the sound source sound field information of the vehicle and the sound information of the vehicle sound system into a trained sound effect determination model.

[0077] By integrating the sound field information of the vehicle's sound source and the sound information of the vehicle's sound system, the embodiment of the present application can optimize the sound field information of the vehicle's sound source based on the type and layout of the vehicle's sound system, the number of power amplifier channels, and the link relationship between the power amplifier channels and each sound in the vehicle's sound system, and obtain the second sound effect parameters, thereby ensuring that when the first sound source is played with the target sound effect parameters determined based on the second sound effect parameters, the sound field of the first sound source can match the position and ear height of the driver and passenger, thereby providing a customized sound experience for each driver and passenger, and improving the sound quality of the vehicle's sound system and the auditory experience of the driver and passenger.

[0078] In one embodiment, before inputting the sound source sound field information of the vehicle and the sound information of the vehicle's sound system into the trained sound effect determination model, the control method provided in the embodiment of the present application also includes: respectively inputting the sound source sound field position, the sound source sound field height, and the sound type and layout into the trained second information processing model to obtain the sound source sound field position vector, the sound source sound field height vector, and the sound parameter vector.

[0079] The second sound effect parameters in step S102 can also be obtained by inputting the sound source sound field position vector, the sound source sound field height vector, the sound parameter vector and the sound power allocation parameter into the trained sound effect determination model to obtain the second sound effect parameters corresponding to the first sound source. The first information processing model and the second information processing model can be the same information processing model or different information processing models.

[0080] like Figure 3As shown, in an application scenario, the distribution position of the driver and the occupants, the ear height of the driver and the occupants, the audio type and layout of the vehicle audio system, the link relationship between the power amplifier channel and each audio in the vehicle audio system, and the number of power amplifier channels can be respectively input into the trained information processing model. First, the sound source sound field position can be determined based on the distribution position of the driver and the occupants through the information processing model, and the sound source sound field height can be determined based on the ear height of the driver and the occupants through the information processing model, and the sound power allocation parameter can be determined based on the link relationship between the power amplifier channel and each audio in the vehicle audio system, the number of power amplifier channels, the sound source sound field position and the sound source sound field height through the information processing model. Then, the sound source sound field position, the sound source sound field height, and the audio type and layout can be converted into vector format through the information processing model to obtain the sound source sound field position vector, the sound source sound field height vector, and the audio parameter vector. Finally, the sound source sound field position vector, the sound source sound field height vector, the audio parameter vector, and the audio power allocation parameter are respectively input into the trained sound effect determination model to obtain the second sound effect parameter corresponding to the first sound source.

[0081] The training process of the above-mentioned information processing model can refer to the training process of the above-mentioned feature processing model, and the training process of the above-mentioned sound effect determination model can refer to the training process of the above-mentioned sound effect analysis model, which will not be repeated here.

[0082] It is worth mentioning that the vector is only an example of a format for facilitating the identification of the sound effect determination model. This application does not restrict the format of the sound source sound field position, sound source sound field height, sound type and layout.

[0083] The embodiment of the present application, based on the accurate determination of the audio type and layout, audio power allocation parameters, sound source sound field position and sound source sound field height, obtains the sound source sound field position vector, the sound source sound field height vector and the audio parameter vector by inputting the sound source sound field position, the sound source sound field height, the audio type and layout into a trained second information processing model, thereby improving the efficiency and accuracy of the sound effect determination model in determining the second sound effect parameters based on the audio power allocation parameters, the audio type and layout, the sound source sound field position and the sound source sound field height.

[0084] Optionally, the first sound effect parameter includes at least one type of sound effect parameter and a first value of each type of sound effect parameter. Optionally, the second sound effect parameter includes at least one type of sound effect parameter and a second value of each type of sound effect parameter. Optionally, the target sound effect parameter includes each type of sound effect parameter in the first sound effect parameter and a target value of each type of sound effect parameter.

[0085] In one embodiment, the step S103 of determining the target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter includes:

[0086] For each type of sound effect parameter in the first set of first sound effect parameters, determining the second value of the sound effect parameter as a target value;

[0087] For each type of sound effect parameter in the second set of first sound effect parameters, determining a first value of the sound effect parameter as a target value;

[0088] The first set is a set of sound effect parameters common to the first sound effect parameter and the second sound effect parameter; the second set is a set of sound effect parameters in the first sound effect parameter that are not common to the first sound effect parameter and the second sound effect parameter.

[0089] The embodiment of the present application determines the second value of the sound effect parameter as the target value for each type of sound effect parameter in the first set of the first sound effect parameter, and determines the first value of the sound effect parameter as the target value for each type of sound effect parameter in the second set of the first sound effect parameter. The sound effect parameters in the first sound effect parameter that are highly correlated with the sound field position and / or the sound field of the sound source can be corrected to obtain the target sound effect parameters, so that the vehicle audio system can not only maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameters, but also provide a customized audio experience for each driver and passenger, thereby improving the sound quality of the vehicle audio system and the auditory experience of the driver and passenger.

[0090] Optionally, the first sound effect parameter includes at least one type of sound effect parameter and a first value of each type of sound effect parameter. Optionally, the second sound effect parameter includes a positioning accuracy and a second value of the positioning accuracy. Optionally, the target sound effect parameter includes each type of sound effect parameter in the first sound effect parameter and a target value of each type of sound effect parameter.

[0091] In another embodiment, the above step S103: determining the target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter, includes:

[0092] For each type of sound effect parameter in the first sound effect parameter, a target value of the sound effect parameter is determined according to a relationship between the sound effect parameter and the positioning accuracy, and a first value of the sound effect parameter and / or a second value of the positioning accuracy.

[0093] The embodiment of the present application determines the target value of the sound effect parameter for each type of sound effect parameter in the first sound effect parameter according to the relationship between the sound effect parameter and the positioning accuracy, as well as the first value of the sound effect parameter and / or the second value of the positioning accuracy, so that the vehicle audio system can not only maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameter, but also provide a customized audio experience for each driver and passenger, thereby improving the sound quality of the vehicle audio system and the auditory experience of the driver and passenger.

[0094] In one embodiment, the target value of the sound effect parameter is determined based on the relationship between the sound effect parameter and the positioning accuracy, and the first value of the sound effect parameter and / or the second value of the positioning accuracy, including:

[0095] In the case where the sound effect parameter is the positioning accuracy, determining the second value of the positioning accuracy as the target value of the sound effect parameter;

[0096] In a case where the sound effect parameter is related to the positioning accuracy, determining a target value of the sound effect parameter according to a first value of the sound effect parameter and a second value of the positioning accuracy;

[0097] In a case where the sound effect parameter is irrelevant to the positioning accuracy, the first value of the sound effect parameter is determined as the target value of the sound effect parameter.

[0098] Optionally, the first sound effect parameter includes at least one type of sound effect parameter selected from the group consisting of frequency range filter, positioning accuracy, frequency response, sensitivity, stereo separation, crossover frequency, equalizer setting, and sound field width. When the sound effect parameter is any one of sound field width, sensitivity, crossover frequency, and frequency response, the sound effect parameter is related to positioning accuracy; when the sound effect parameter is any one of frequency range filter, stereo separation, and equalizer setting, the sound effect parameter is related to positioning accuracy.

[0099] In the embodiment of the present application, when the sound effect parameter is the positioning accuracy, the second value of the positioning accuracy is determined as the target value of the sound effect parameter; when the sound effect parameter is related to the positioning accuracy, the target value of the sound effect parameter is determined according to the first value of the sound effect parameter and the second value of the positioning accuracy; when the sound effect parameter is unrelated to the positioning accuracy, the first value of the sound effect parameter is determined as the target value of the sound effect parameter, so that the vehicle audio system can not only maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameter, but also provide a customized audio experience for each driver and passenger, thereby improving the sound quality of the vehicle audio system and the auditory experience of the driver and passenger.

[0100] In the case where the sound effect parameter is related to the positioning accuracy, the target value of the sound effect parameter is determined according to the first value of the sound effect parameter and the second value of the positioning accuracy. The target value of the sound effect parameter can be obtained by substituting the first value of the sound effect parameter and the second value of the positioning accuracy into a preset relationship, wherein the preset relationship can be determined based on the correlation between the sound effect parameter and the positioning accuracy. The first value of the sound effect parameter and the second value of the positioning accuracy can also be fused according to a preset fusion rule to obtain the target value of the sound effect parameter.

[0101] In the embodiment of the present application, when the sound effect parameters are related to the positioning accuracy, the target value of the sound effect parameter is determined by fusing the value of the sound effect parameter in the first sound effect parameter with the positioning accuracy value in the second sound effect parameter. This allows the vehicle audio system to not only maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameter, but also provide a customized audio experience for each driver and passenger, thereby improving the sound quality of the vehicle audio system and the auditory experience of the driver and passenger.

[0102] Combination Figure 3 and Figure 4 In one application scenario, the first sound source can be input into a trained feature processing model. First, the feature processing model is used to extract features of the first sound source to determine the audio features, singing features, music style features and instrumentation features of the first sound source. Then, the feature processing model is used to fuse and transform the audio features, singing features, music style features and instrumentation features of the first sound source to obtain an audio feature vector of the first sound source. In addition, the user's song preference information can be input into a trained feature processing model to obtain a user preference vector. The type of each audio and the number of each type of audio can be input into a trained feature processing model to obtain an audio parameter vector. The installation position and installation direction of each audio can also be input into a trained feature processing model to obtain a vehicle space vector. Furthermore, the audio feature vector, user preference vector, audio parameter vector and vehicle space vector can be input into a trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source.

[0103] In addition, the distribution position of the driver and the occupants, the ear height of the driver and the occupants, the audio type and layout of the vehicle audio system, the link relationship between the power amplifier channel and each audio in the vehicle audio system, and the number of the power amplifier channels can be respectively input into the trained information processing model. First, the sound source sound field position can be determined based on the distribution position of the driver and the occupants through the information processing model, and the sound source sound field height can be determined based on the ear height of the driver and the occupants through the information processing model, and the sound power allocation parameter can be determined based on the link relationship between the power amplifier channel and each audio in the vehicle audio system, the number of power amplifier channels, the sound source sound field position and the sound source sound field height through the information processing model. Then, the sound source sound field position, the sound source sound field height, and the audio type and layout can be converted into vector format respectively through the information processing model to obtain the sound source sound field position vector, the sound source sound field height vector, and the sound parameter vector. Then, the sound source sound field position vector, the sound source sound field height vector, the sound parameter vector, and the sound power allocation parameter can be respectively input into the trained sound effect determination model to obtain the second sound effect parameter corresponding to the first sound source.

[0104] Furthermore, for each type of sound effect parameter in the first sound effect parameter, a target value of the sound effect parameter can be determined according to the relationship between the sound effect parameter and the positioning accuracy, and the first value of the sound effect parameter in the first sound effect parameter and / or the second value of the positioning accuracy in the second sound effect parameter. Finally, when playing the first sound source, the sound effect parameter of the vehicle audio system can be adjusted to the target sound effect parameter, so that the vehicle audio system plays the first sound source based on the target sound effect parameter.

[0105] The embodiment of the present application obtains the first sound effect parameters corresponding to the first sound source by inputting the second information determined based on the characteristic information of the first sound source into the trained sound effect analysis model, and determines the second sound effect parameters corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound information of the vehicle's sound system, and determines the target value of the sound effect parameter for each type of sound effect parameter in the first sound effect parameter according to the relationship between the sound effect parameter and the positioning accuracy, and the first value of the sound effect parameter in the first sound effect parameter and / or the second value of the positioning accuracy in the second sound effect parameter, so that when the first sound source is played, the vehicle sound system can not only maximize the restoration of the characteristics of the sound source itself based on the target sound effect parameters, but also provide a customized sound experience for each driver and passenger, thereby improving the sound quality of the vehicle sound system and the auditory experience of the driver and passenger.

[0106] See also Figure 5 The embodiment of the present application also provides a control device 500 for a vehicle audio system, which can implement the control method of the above-mentioned vehicle audio system. The system includes: a first sound effect module 501, a second sound effect module 502, a third sound effect module 503 and a sound effect adjustment module 504.

[0107] The first sound effect module 501 is used to input the second information into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source; the second information is determined based on the first information; the first information at least includes the audio features, singing features, music style features and instrumentation features of the first sound source;

[0108] The second sound effect module 502 is used to determine the second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound information of the sound system of the vehicle; the sound source sound field information includes the sound source sound field height and the sound source sound field position; the sound information includes the sound type and layout, and the sound power allocation parameter;

[0109] The third sound effect module 503 is used to determine the target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter;

[0110] The sound effect adjustment module 504 is used to adjust the sound effect parameters of the sound system to target sound effect parameters when playing the first sound source.

[0111] The control device of the vehicle audio system provided in the embodiment of the present application can implement each step of the control method embodiment of the vehicle audio system described above, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0112] Alternatively, if Figure 6As shown, the embodiment of the present application further provides an electronic device 600, including a processor 601 and a memory 602, the memory 602 stores a program or instruction that can be run on the processor 601, and the program or instruction is executed by the processor 601 to implement the various steps of the above-mentioned vehicle audio system control method embodiment, and can achieve the same technical effect, to avoid repetition, it is not repeated here. It should be noted that the electronic device in the embodiment of the present application includes the above-mentioned mobile electronic device and non-mobile electronic device.

[0113] Figure 7 A schematic diagram of the hardware structure of an electronic device for implementing an embodiment of the present application is provided, wherein the electronic device includes:

[0114] The processor 701 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0115] The memory 702 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 702 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 702, and the processor 701 calls and executes the control method of the vehicle audio system of the embodiment of this application;

[0116] Input / output interface 703, used to implement information input and output;

[0117] Communication interface 704, used to realize communication interaction between the device and other devices, which can be realized by wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);

[0118] A bus 705 that transmits information between the various components of the device (e.g., the processor 701, the memory 702, the input / output interface 703, and the communication interface 704);

[0119] The processor 701 , the memory 702 , the input / output interface 703 and the communication interface 704 are connected to each other in communication within the device via a bus 705 .

[0120] The electronic device provided in the embodiment of the present application can implement each step of the above-mentioned vehicle audio system control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described here.

[0121] The embodiment of the present application also provides a computer-readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various steps of the above-mentioned vehicle audio system control method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0122] The processor is the processor in the electronic device described in the above embodiment. The computer-readable storage medium includes a computer-readable storage medium such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0123] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various steps of the above-mentioned vehicle audio system control method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0124] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0125] An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various steps of the control method embodiment of the vehicle audio system as described above, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0126] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not delete the existence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0127] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0128] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for controlling a vehicle audio system, characterized in that: include: Inputting the second information into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source; the second information is determined based on the first information; the first information at least includes the audio features, singing features, music style features and instrumentation features of the first sound source; Determining a second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound system information of the vehicle; the sound source sound field information includes the sound source sound field height and the sound source sound field position; the sound information includes the sound type and layout, and the sound power allocation parameter; Determining a target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter; When the first sound source is played, the sound effect parameters of the sound system are adjusted to the target sound effect parameters.

2. The control method according to claim 1, characterized in that: Before determining the second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound information of the sound system of the vehicle, the control method further includes: Determining the sound field position of the sound source according to the distribution positions of the drivers and passengers; Determining the sound field height of the sound source according to the ear height of the driver and passenger; The audio power allocation parameter is determined according to the link relationship between the power amplifier channel of the audio system and each audio in the audio system, the number of the power amplifier channels, the sound source sound field position and the sound source sound field height.

3. The control method according to claim 1, characterized in that: The first sound effect parameter includes at least one type of sound effect parameter and a first value of each type of sound effect parameter; the second sound effect parameter includes positioning accuracy and a second value of the positioning accuracy; the target sound effect parameter includes the at least one type of sound effect parameter and a target value of each type of sound effect parameter; The determining, according to the first sound effect parameter and the second sound effect parameter, a target sound effect parameter corresponding to the first sound source includes: For each type of sound effect parameter in the first sound effect parameter, a target value of the sound effect parameter is determined according to a relationship between the sound effect parameter and the positioning accuracy, and a first value of the sound effect parameter and / or a second value of the positioning accuracy.

4. The control method according to claim 3, characterized in that: The determining the target value of the sound effect parameter according to the relationship between the sound effect parameter and the positioning accuracy, and the first value of the sound effect parameter and / or the second value of the positioning accuracy includes: In a case where the sound effect parameter is the positioning accuracy, determining the second value of the positioning accuracy as the target value of the sound effect parameter; In a case where the sound effect parameter is related to the positioning accuracy, determining a target value of the sound effect parameter according to a first value of the sound effect parameter and a second value of the positioning accuracy; In a case where the sound effect parameter is independent of the positioning accuracy, the first value of the sound effect parameter is determined as the target value of the sound effect parameter.

5. The control method according to claim 1, characterized in that: Before inputting the second information into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source, the control method further includes: Acquire a training data set, wherein the training data set includes a plurality of training samples, each of the training samples includes a third information and a playback sound effect parameter corresponding to a second sound source; the third information is determined based on fourth information; the fourth information includes at least audio features, singing features, music style features, and instrumentation features of the second sound source; For each of the training samples, the following steps are performed respectively: Inputting the training samples into the sound effect analysis model to obtain predicted sound effect parameters of the vehicle audio system; Determining a loss function value of the sound effect analysis model according to the predicted sound effect parameters and the played sound effect parameters; When the loss function value does not meet the training stop condition, the model parameters of the sound effect analysis model are adjusted to obtain an updated sound effect analysis model, and the updated sound effect analysis model is trained using the next training sample until the training stop condition is met to obtain a trained sound effect analysis model.

6. The control method according to claim 1, characterized in that: The audio type and layout include the type, installation location, installation direction and quantity of each type of audio in the audio system; Before inputting the second information into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source, the control method further includes: In the case where the second information is a vector, generating a user preference vector according to the user's song preference information; and / or When the second information is a vector, generating an audio parameter vector according to the type of each audio and the number of each type of audio, and generating a vehicle space vector according to the installation position and installation direction of each audio; Among them, the second information includes an audio feature vector generated based on the audio features, singing features, music style features and orchestration features of the first sound source, and also includes the user preference vector, and / or the sound parameter vector and the vehicle space vector.

7. A control device for a vehicle audio system, characterized in that: It includes a first sound effect module, a second sound effect module, a third sound effect module and a sound effect adjustment module; The first sound effect module is used to input the second information into the trained sound effect analysis model to obtain the first sound effect parameter corresponding to the first sound source; the second information is determined based on the first information; the first information at least includes the audio features, singing features, music style features and instrumentation features of the first sound source; The second sound effect module is used to determine the second sound effect parameter corresponding to the first sound source according to the sound source sound field information of the vehicle and the sound information of the sound system of the vehicle; the sound source sound field information includes the sound source sound field height and the sound source sound field position; the sound information includes the sound type and layout, and the sound power allocation parameter; The third sound effect module is used to determine the target sound effect parameter corresponding to the first sound source according to the first sound effect parameter and the second sound effect parameter; The sound effect adjustment module is used to adjust the sound effect parameters of the sound system to the target sound effect parameters when the first sound source is played.

8. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the control method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the control method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product is stored in a storage medium, and when the computer program product is executed by at least one processor, the control method according to any one of claims 1 to 6 is implemented.

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