Audio equipment parameter configuration method and device, equipment and storage medium

Abstract

The invention relates to the technical field of audio equipment configuration, and discloses a parameter configuration method and device of audio equipment, equipment and a storage medium, which are used for improving the accuracy of parameter configuration of the audio equipment. The parameter configuration method of the audio equipment comprises the following steps: acquiring the type and audio format information of a current input signal source; based on the type of the input signal source and the audio format information, identifying an audio content type and determining an optimal playing mode; adjusting a sound box combination and sound channel configuration of the audio equipment based on the optimal playing mode; and matching a volume level according to the audio content type, and carrying out adaptive volume adjustment on the audio equipment in combination with user preference and environment analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of audio device configuration, and in particular to a parameter configuration method, device, equipment and storage medium for an audio device. Background Art

[0002] In the prior art, the parameter configuration method of the audio device is usually to directly configure the channel of the speaker only according to the audio format of the input signal source in terms of channel configuration; and to rely on simple environmental noise detection to adjust the volume in terms of volume configuration. Since the parameter configuration method of the existing audio device ignores the characteristics of the audio itself when configuring the channel, and only considers a single factor when configuring the volume without comprehensively considering other relevant factors, this configuration method cannot adapt to different audio content and diversified scenarios, resulting in inaccurate configuration results. Summary of the invention

[0003] The present invention provides a parameter configuration method, apparatus, device and storage medium for an audio device, so as to solve the problem in the prior art that the configuration method cannot adapt to different audio contents and diversified scenes, resulting in inaccurate configuration results.

[0004] A first aspect of the present invention provides a parameter configuration method for an audio device, comprising: obtaining the type and audio format information of a current input signal source; based on the type and audio format information of the input signal source, identifying the audio content type and determining an optimal playback mode; adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode; matching the volume level according to the audio content type, and performing adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis.

[0005] In a feasible implementation manner, obtaining the type and audio format information of the current input signal source includes: detecting the type of the currently connected input signal source through the interface of the audio device, the type of the input signal source including at least one of Bluetooth, Wi-Fi, and a wired interface; parsing the audio format of the input signal source, the audio format including at least one of MP3, WAV, FLAC, and AAC; identifying the sampling rate and bit depth of the input signal source to obtain complete audio format information.

[0006] In a feasible implementation, the identifying of the audio content type and determining the optimal playback mode based on the type of the input signal source and the audio format information includes: querying the corresponding audio content type in a database based on the type of the input signal source and the audio format information; calculating the fitness score of each playback mode corresponding to the current audio content type according to the hardware performance of the audio device, the current environmental conditions and the user's historical preferences; and selecting the playback mode with the highest fitness score as the optimal playback mode.

[0007] In a feasible implementation, the adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode includes: analyzing the sound effect requirements based on the optimal playback mode, and generating a speaker layout optimization plan based on the speaker performance parameter set and the spatial acoustic characteristics; adjusting the relative position, angle and spatial distribution of the speakers in the audio device according to the speaker layout optimization plan; and performing channel configuration based on the adjusted speaker layout and the optimal playback mode.

[0008] In a feasible implementation manner, the sound effect requirement is analyzed based on the optimal playback mode, and a speaker layout optimization plan is generated in combination with a speaker performance parameter set and room acoustic characteristic parameters, including: parsing the sound effect characteristic parameters in the optimal playback mode, and determining a sound effect requirement index based on the sound effect characteristic parameters; evaluating the matching degree between the sound effect requirement index and the speaker performance parameter set, and screening the speakers in the audio device based on the matching evaluation result to obtain a speaker screening result; acquiring room acoustic characteristic parameters, the room acoustic characteristic parameters including room size, shape, reverberation time, reflection path, sound absorption coefficient and sound field distribution; and generating a speaker layout optimization plan based on the speaker screening result and the room acoustic characteristic parameters.

[0009] In a feasible implementation, the evaluating the matching degree between the sound effect requirement index and the speaker performance parameter set, and screening the speakers in the audio device based on the matching evaluation result to obtain the speaker screening result, includes: collecting the frequency response range, power output capability and distortion of each speaker in the audio device to obtain the speaker performance parameter set, wherein the speaker performance parameter set includes the performance parameters of each speaker; calculating the similarity between the performance parameters of each speaker and the sound effect index to obtain the corresponding matching degree; and eliminating the speakers whose matching degree is lower than a preset threshold to obtain the speaker screening result.

[0010] In a feasible implementation, the generating of the speaker layout optimization scheme based on the speaker screening results and the room acoustic characteristic parameters includes: setting an objective function for speaker layout optimization based on the speaker screening results and the room acoustic characteristic parameters; setting constraints based on the physical size and installation position of each speaker; using a genetic algorithm to perform iterative calculations under the set objective function and constraints to find the optimal combination of speaker position, angle and spatial distribution, and outputting a speaker layout optimization scheme.

[0011] In a feasible implementation, adjusting the relative position, angle and spatial distribution of speakers in an audio device according to the speaker layout optimization plan includes: controlling an electric adjustment structure in the audio device to adjust the relative position and angle of the speakers according to the speaker layout optimization plan; using an angle sensor to determine whether the angle of each speaker is correctly adjusted; and verifying whether the adjusted speaker spatial distribution meets the requirements of the speaker layout optimization plan.

[0012] In a feasible implementation, the channel configuration based on the adjusted speaker layout and the optimal playback mode includes: determining the correspondence between each sound element and the available channels according to the acoustic requirements of the optimal playback mode; and allocating each channel sound signal to the corresponding speaker based on the adjusted speaker layout.

[0013] In a feasible implementation, matching the volume level according to the audio content type and performing adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis include: obtaining an initial volume parameter that matches the audio content type from a preset volume level library; obtaining a user's historical volume adjustment record in user's historical preference data; collecting noise intensity values, spatial echo parameters, and ambient light intensity data of the current environment to generate an environmental feature vector; adjusting the initial volume parameter based on the user's historical volume adjustment record and the environmental feature vector, and applying the adjusted volume parameter to the audio device.

[0014] In a feasible implementation manner, the method of collecting the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment to generate an environmental feature vector includes: using an environmental sensor to collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment; inputting the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment into a preset environmental analysis model to obtain an environmental feature vector, wherein the environmental analysis model is used in a machine learning model based on multimodal data fusion, and outputs a normalized environmental feature vector by jointly learning the nonlinear mapping relationship between noise intensity, spatial echo and light intensity.

[0015] In a feasible implementation manner, the adjusting the initial volume parameter based on the user's historical volume adjustment record and the environmental feature vector includes: using the user's historical volume adjustment record to calculate the average volume adjustment offset of the user under the same audio content type and in a similar environment; inputting a preset volume compensation regression model based on the environmental feature vector, and outputting a corresponding environmental volume compensation coefficient by analyzing the synergistic influence relationship among noise intensity, spatial echo and light intensity; and determining the adjusted volume parameter based on the average volume adjustment offset, the environmental volume compensation coefficient and the initial volume parameter.

[0016] The second aspect of the present invention provides a parameter configuration device for an audio device, comprising: an acquisition module, used to obtain the type and audio format information of a current input signal source; an identification module, used to identify the audio content type and determine the optimal playback mode based on the type and audio format information of the input signal source; an adjustment module, used to adjust the speaker combination and channel configuration of the audio device based on the optimal playback mode; and an adjustment module, used to match the volume level according to the audio content type, and perform adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis.

[0017] In a feasible implementation, the acquisition module is specifically used to: detect the type of the currently connected input signal source through the interface of the audio device, the type of the input signal source including at least one of Bluetooth, Wi-Fi, and a wired interface; parse the audio format of the input signal source, the audio format including at least one of MP3, WAV, FLAC, and AAC; identify the sampling rate and bit depth of the input signal source to obtain complete audio format information.

[0018] In a feasible implementation, the identification module is specifically used to: query the corresponding audio content type in the database based on the type and audio format information of the input signal source; calculate the fitness score of each playback mode corresponding to the current audio content type according to the hardware performance of the audio device, current environmental conditions and user historical preferences; and select the playback mode with the highest fitness score as the optimal playback mode. In a feasible implementation, the adjustment module includes: a first generation unit, used to analyze the sound effect requirements based on the optimal playback mode, and generate a speaker layout optimization plan in combination with the speaker performance parameter set and the spatial acoustic characteristics; a first adjustment unit, used to adjust the relative position, angle and spatial distribution of the speakers in the audio device according to the speaker layout optimization plan; a configuration unit, used to perform channel configuration based on the adjusted speaker layout and the optimal playback mode.

[0019] In a feasible implementation manner, the first generating unit includes: a determining subunit, used to analyze the sound effect characteristic parameters in the optimal playback mode, and determine the sound effect requirement index based on the sound effect characteristic parameters; a screening subunit, used to evaluate the matching degree between the sound effect requirement index and the speaker performance parameter set, and screen the speakers in the audio device based on the matching evaluation result to obtain the speaker screening result; an acquiring subunit, used to acquire the room acoustic characteristic parameters, and the room acoustic characteristic parameters include room size, shape, reverberation time, reflection path, sound absorption coefficient and sound field distribution; a generating subunit, used to generate a speaker layout optimization plan based on the speaker screening result and the room acoustic characteristic parameters.

[0020] In a feasible implementation, the screening subunit is specifically used to: collect the frequency response range, power output capacity and distortion of each speaker in the audio device to obtain a speaker performance parameter set, wherein the speaker performance parameter set includes the performance parameters of each speaker; calculate the similarity between the performance parameters of each speaker and the sound effect index to obtain the corresponding matching degree; eliminate speakers with a matching degree lower than a preset threshold to obtain a speaker screening result.

[0021] In a feasible implementation manner, the generating subunit is specifically used to: set an objective function for optimizing the speaker layout based on the speaker screening results and the room acoustic characteristic parameters; set constraints based on the physical size and installation position of each speaker; use a genetic algorithm to perform iterative calculations under the set objective function and constraints to find the optimal speaker position, angle and spatial distribution combination, and output a speaker layout optimization plan.

[0022] In a feasible implementation manner, the first adjustment unit is specifically used to: control the electric adjustment structure in the audio device to adjust the relative position and angle of the speakers according to the speaker layout optimization plan; use an angle sensor to determine whether the angle of each speaker is correctly adjusted; and verify whether the adjusted speaker spatial distribution meets the requirements of the speaker layout optimization plan.

[0023] In a feasible implementation, the configuration unit is specifically used to: determine the correspondence between each sound element and the available channels according to the acoustic requirements of the optimal playback mode; and allocate the sound signals of each channel to the corresponding speakers based on the adjusted speaker layout.

[0024] In a feasible implementation, the adjustment module includes: a matching unit, used to obtain an initial volume parameter matching the audio content type from a preset volume level library; an acquisition unit, used to obtain a user's historical volume adjustment record in the user's historical preference data; a second generation unit, used to collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment to generate an environmental feature vector; a second adjustment unit, used to adjust the initial volume parameter based on the user's historical volume adjustment record and the environmental feature vector, and apply the adjusted volume parameter to the audio device.

[0025] In a feasible implementation, the second generation unit is specifically used to: use environmental sensors to collect noise intensity values, spatial echo parameters and ambient light intensity data of the current environment; input the noise intensity values, spatial echo parameters and ambient light intensity data of the current environment into a preset environmental analysis model to obtain an environmental feature vector, and the environmental analysis model is used for a machine learning model based on multimodal data fusion, which outputs a normalized environmental feature vector by jointly learning the nonlinear mapping relationship between noise intensity, spatial echo and light intensity.

[0026] In a feasible implementation manner, the second adjustment unit is specifically used to: calculate the average volume adjustment offset of the user under the same audio content type and in a similar environment by using the user's historical volume adjustment record; input a preset volume compensation regression model based on the environmental feature vector, and output a corresponding environmental volume compensation coefficient by analyzing the synergistic influence of noise intensity, spatial echo and light intensity; determine the adjusted volume parameter based on the average volume adjustment offset, the environmental volume compensation coefficient and the initial volume parameter.

[0027] A third aspect of the present invention provides an electronic device, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory so that the electronic device executes the above-mentioned parameter configuration method of the audio device.

[0028] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned method for configuring parameters of an audio device.

[0029] In the technical solution provided by the present invention, the type and audio format information of the current input signal source are obtained; based on the type and audio format information of the input signal source, the audio content type is identified and the optimal playback mode is determined; based on the optimal playback mode, the speaker combination and channel configuration of the audio device are adjusted; the volume level is matched according to the audio content type, and the audio device is adaptively adjusted in combination with user preferences and environmental analysis. In the embodiment of the present invention, the audio content type is identified by obtaining the signal source type and format information, and then the optimal playback mode is determined, and the speaker combination and channel configuration are adjusted, so that the audio playback is more in line with the characteristics of different audio contents. At the same time, the audio content type, user preferences and environmental analysis are combined to perform adaptive volume adjustment, which fully considers multiple factors, improves the accuracy of the configuration, and realizes personalized volume settings, which can bring users high-quality and comfortable audio experience in different scenarios, and greatly improves the use effect of audio equipment and user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A schematic diagram of an embodiment of a method for configuring parameters of an audio device in an embodiment of the present invention; Figure 2 A schematic diagram of another embodiment of a method for configuring parameters of an audio device according to an embodiment of the present invention; Figure 3 A schematic diagram of an embodiment of a parameter configuration device for an audio device according to an embodiment of the present invention; Figure 4A schematic diagram of another embodiment of a parameter configuration device for an audio device according to an embodiment of the present invention; Figure 5 FIG. 1 is a schematic diagram of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The embodiments of the present invention provide a method, apparatus, device and storage medium for configuring parameters of an audio device, which improves the configuration accuracy of the audio device by comprehensively configuring parameters based on multiple factors.

[0032] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] It is understandable that the execution subject of the present invention may be a parameter configuration device for an audio device, or may be a terminal or a server, which is not specifically limited herein. The embodiment of the present invention is described by taking a server as the execution subject as an example.

[0034] It should be noted that the data sources used in the present invention are all obtained through legal channels to ensure that all data processing complies with relevant laws and regulations and protect user privacy and data security.

[0035] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 , an embodiment of a parameter configuration method for an audio device in an embodiment of the present invention includes: 101. Obtain the type and audio format information of the current input signal source; The detection circuit of the audio input interface can be used. Different interfaces such as HDMI, optical fiber, AUX, etc. have unique electrical characteristics and protocol standards. The detection circuit can identify the type of signal source based on these characteristics. For the HDMI interface, the extended display identification data can be read, which contains detailed parameters such as the audio format and resolution supported by the signal source device. In addition, the driver and signal processing algorithm can also be used. When the signal is connected, the driver performs a preliminary analysis of the input signal, extracts the identification information in the signal, and determines the type of signal source. The signal processing algorithm further performs an in-depth analysis of the audio data, determines the audio format by identifying the encoding identifier, sampling rate, bit depth and other information in the audio data frame header, and at the same time, combined with the API interface provided by the operating system, obtains the system's identification information of the audio device, and verifies it with the hardware detection and software analysis results, so as to accurately and comprehensively obtain the type and audio format information of the current input signal source.

[0036] 102. Based on the type of input signal source and audio format information, identify the audio content type and determine the best playback mode; The signal source type includes interfaces such as HDMI, optical fiber or AUX, while the audio format information includes key parameters such as sampling rate, bit depth and encoding format. For example, when the input signal comes from the HDMI interface and the audio format is multi-channel LPCM or Dolby Atmos, the audio content type can be determined to be a high-definition movie or game; if the signal source is an AUX interface and the audio format is dual-channel 44.1kHz and 16-bit bit depth, the audio content type may belong to the category of music or podcast; further, according to the preset matching rule library, the best playback mode is accurately matched for different types of audio content. For example, for high-definition movies or games, a playback mode with immersive surround sound effects will be enabled, making full use of the advantages of multi-channels, enhancing the spatial and three-dimensional sense of sound, making the audience or players feel as if they are in the scene; for music or podcasts, a playback mode that focuses on sound quality restoration and detail performance is adopted, optimizing the frequency response curve of the audio, improving the clarity and purity of the sound, ensuring that every note and every sentence can be clearly distinguished, thereby providing users with the best audio playback experience.

[0037] 103. Adjust the speaker combination and channel configuration of the audio device based on the optimal playback mode; Analyze the specific requirements of the optimal playback mode for speaker combination and channel configuration.

[0038] For example, for immersive surround sound playback mode, the position and angle of each speaker of the audio device are calculated based on the spatial acoustics principle and speaker performance parameters. For playback modes that focus on sound quality restoration and detail expression, the position and angle of each speaker of the audio device are calculated based on the spectral characteristics of the audio signal, the speaker frequency response curve, and the uniformity requirements of the sound field.

[0039] For the immersive surround sound playback mode, the sound wave propagation simulation algorithm is used to analyze the reflection, diffraction and other phenomena of sound in the space, and combined with the performance parameters such as the frequency response curve and directivity characteristics of the speaker, a genetic algorithm or a particle swarm optimization algorithm is used to iteratively calculate the optimal position and angle of each speaker with the goal of creating a uniform sound field and reducing sound coloration.

[0040] For playback modes that focus on sound quality restoration and detail expression, audio analysis software is used to analyze the spectral characteristics of audio signals, clarify the energy distribution in different frequency bands, and combine the frequency response curves of each speaker. Through mathematical modeling, the optimal frequency band for each speaker is determined, and a three-dimensional model of the listening room is constructed. According to the requirements of sound field uniformity, a particle swarm optimization algorithm is used. With the goal of minimizing the difference in sound pressure levels in each frequency band, the speaker positions and angles are iteratively calculated. For example, high-frequency speakers are placed at a height close to the ear to reduce reflections, low-frequency speakers are placed in corners to optimize standing waves, and mid-frequency speakers are placed directly opposite the listening position to ensure clarity, thereby achieving accurate sound quality restoration.

[0041] For example, in a living room environment, the front left and right speakers will be placed at an appropriate distance on both sides of the screen, the center speaker will be located in the center of the screen, and the rear surround speakers will be installed on the rear sides or rear corners according to the size and shape of the room to create a realistic surround sound field.

[0042] For example, in a professional listening room of moderate size, in order to accurately restore the high-frequency details in the audio signal, speakers with excellent high-frequency response will be placed close to the listening position and at a moderate height to reduce the reflection and attenuation of high-frequency signals; for the mid-frequency part, speakers with flat frequency response and low distortion are selected and placed directly in front of the listening area to ensure clear presentation of the fundamental frequencies of human voices and instruments; low-frequency speakers are placed in the corners of the room or in acoustically treated locations according to the low-frequency standing waves in the room. By adjusting their position and angle, the low-frequency energy is evenly distributed throughout the listening space to avoid low-frequency roar or local over-intensity, thereby achieving high-fidelity restoration of full-band sound quality.

[0043] In terms of channel configuration, the digital signal processor can distribute and process audio signals in real time. Specifically, for multi-channel audio sources, the digital signal processor can accurately distribute the sound signals of different channels to the corresponding speakers, and adjust the gain, delay, phase and other parameters of each channel to ensure that the sound is synchronized and coordinated in the space. In addition, the working status of the speakers, such as temperature and power, can be monitored in real time, and the speaker combination and channel configuration can be dynamically adjusted according to the actual situation to ensure that the audio equipment is always in the best working state and provide users with a superior audio experience.

[0044] 104. Match the volume level according to the audio content type, and perform adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis.

[0045] A mapping database between audio content types and initial volume levels is pre-established, and a reasonable initial volume range is set for different types of audio, such as movies, music, news, etc., based on their dynamic range and acoustic characteristics. When the type of audio content currently being played is identified, the corresponding initial volume level is extracted from the database.

[0046] Collect the user's volume preference information, which includes the user's habitual volume settings in different time periods and scenarios, as well as the user's personalized operation records of volume increase and decrease. Collect environmental noise data in real time, use digital signal processing algorithms to analyze the intensity, frequency distribution and other characteristics of the noise, and calculate the equivalent sound level of the environmental noise.

[0047] The final volume parameters are determined based on the user's volume preference information, the equivalent sound level of ambient noise, and the initial volume level. Specifically, different weight coefficients are set for the initial volume level, the user's volume preference information, and the equivalent sound level of ambient noise. These weight coefficients can be dynamically adjusted based on actual application scenarios and user feedback. For the initial volume level, its weight mainly reflects the acoustic characteristic benchmarks of different types of audio content. For example, due to the large dynamic range of movie audio, the initial volume level weight is relatively high to ensure basic sound expressiveness. The weight of the user's volume preference information reflects the user's personalized needs. If the user frequently adjusts the volume in a specific time period and scenario, the weight of the corresponding preference information will increase accordingly; the weight of the equivalent sound level of environmental noise is used to balance the interference of external noise. When the environmental noise is large, the weight will increase to ensure that the audio can still be clearly heard in a noisy environment; then, the initial volume level, the quantized user volume preference value (such as mapping the preferred volume in different time periods to a specific numerical range) and the equivalent sound level of environmental noise are weighted and summed to obtain a preliminary volume adjustment value; then, the fuzzy logic control mechanism is introduced to fine-tune the preliminary adjustment value, considering the smoothness and comfort of the volume change to avoid discomfort to the user caused by sudden changes in volume. For example, if the initial calculated volume change is too large, the fuzzy logic will appropriately reduce the change to achieve gradual adjustment of the volume; finally, after multi-weight fusion and fuzzy logic fine-tuning, the final volume parameters that best meet user needs and environmental conditions are determined to achieve adaptive adjustment of the volume of the audio device.

[0048] For example, take watching a movie in the living room at home using an audio device at night. If the initial volume level is 50 and the equivalent sound level of the current living room ambient noise is 30, according to the user volume preference information, it is obtained that the user is accustomed to setting the volume between 40 and 45 when watching movies between 8 and 10 p.m., and there are multiple operation records of manually adjusting the volume to 42 during this time period. Among them, considering the characteristics and importance of movie audio, the weight of the initial volume level is set to 0.4. Since the user has a clear volume preference in this time period, the weight of the user volume preference information is set to 0.4. The ambient noise will have a certain impact on the viewing experience, and the weight of the equivalent sound level of the ambient noise is set to 0.2. The user volume preference information is quantified, and the middle value of the user's accustomed volume range, 42.5, is taken as the representative value. According to the weighted summation formula: preliminary volume adjustment value = initial volume level × weight of initial volume level + user volume preference value × weight of user volume preference information + equivalent sound level of ambient noise × weight of equivalent sound level of ambient noise = 50 × 0.4 + 42.5 × 0.4 + 30 × 0.2 = 20 + 17 + 6 = 43; considering the smoothness of volume change, if the preliminary calculated volume change amplitude is compared with the current volume (assuming the current volume is 40), the change amplitude is 3, which is within the acceptable range, but in order to further improve the user experience, the fuzzy logic control mechanism decides to fine-tune the volume to 42. After multi-weight fusion and fuzzy logic fine-tuning, the volume parameter is finally determined to be 42. The audio device will play movies at this volume, which not only takes into account the characteristics of movie audio, but also meets the personalized needs of users, while adapting to environmental noise conditions, providing users with a comfortable viewing experience.

[0049] In an embodiment of the present invention, by obtaining the type and audio format information of the current input signal source; based on the type and audio format information of the input signal source, identifying the audio content type and determining the optimal playback mode, adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode, matching the volume level according to the audio content type, and performing adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis, full consideration is given to various factors, adapting to different audio content and diverse scenarios, improving the accuracy of audio device parameter configuration, and realizing personalized volume setting, which can provide users with high-quality and comfortable audio experience in different scenarios, and greatly improving the use effect of the audio device and user satisfaction.

[0050] See also Figure 2 Another embodiment of the parameter configuration method of the audio device in the embodiment of the present invention includes: 201. Obtain the type and audio format information of the current input signal source; Detect the type of the currently connected input signal source through the interface of the audio device, the type of the input signal source includes at least one of Bluetooth, Wi-Fi, and wired interface; parse the audio format of the input signal source, the audio format includes at least one of MP3, WAV, FLAC, and AAC; identify the sampling rate and bit depth of the input signal source to obtain complete audio format information.

[0051] 202. Based on the type of the input signal source and the audio format information, identify the audio content type and determine the best playback mode; Based on the type of input signal source and audio format information, the corresponding audio content type is queried in the database; based on the hardware performance of the audio device, current environmental conditions and user historical preferences, the fitness score of each playback mode corresponding to the current audio content type is calculated; and the playback mode with the highest fitness score is selected as the optimal playback mode.

[0052] A database containing the correspondence between signal source type, audio format information and audio content type is pre-built, and the corresponding audio content type is quickly queried based on the acquired signal source type and audio format information using a data retrieval algorithm. For example, when a user connects a device via a Bluetooth interface and plays a song in MP3 format, the data retrieval algorithm can quickly query the database for the corresponding audio content type, which is "music", based on the signal source type (Bluetooth) and audio format information (MP3).

[0053] Collect the hardware performance parameters of the audio device, such as the frequency response range, power, distortion of the speaker, and the computing power of the processor; collect current environmental condition data through environmental sensors, including room size, reverberation time, background noise intensity, etc.; extract user historical preferences from user historical usage records, such as the frequency of selecting playback modes for different types of audio, volume adjustment habits, etc.; use a multi-factor weighted scoring model to set reasonable weight coefficients for hardware performance, environmental conditions, and user historical preferences, and quantify the degree of adaptation of each playback mode to the current audio content type based on each factor, and calculate the adaptation score of each playback mode. For example, for immersive playback mode, if the audio device hardware supports multi-channel output and the room reverberation time is moderate, and the user has a historical preference for this mode, then the mode will score higher; by comparing the adaptation scores of each playback mode, select the playback mode with the highest score as the best playback mode.

[0054] 203. Analyze the sound effect requirements based on the optimal playback mode, and generate a speaker layout optimization plan based on the speaker performance parameter set and the spatial acoustic characteristics; Analyze the sound effect characteristic parameters in the optimal playback mode, and determine the sound effect requirement index based on the sound effect characteristic parameters; evaluate the matching degree between the sound effect requirement index and the speaker performance parameter set, and screen the speakers in the audio equipment based on the matching evaluation results to obtain the speaker screening results; obtain the room acoustic characteristic parameters, which include room size, shape, reverberation time, reflection path, sound absorption coefficient and sound field distribution; generate a speaker layout optimization plan based on the speaker screening results and the room acoustic characteristic parameters.

[0055] Extract the sound effect characteristic parameters such as frequency response range, dynamic range, sound field width, surround sound effect intensity, etc. from the best playback mode, and determine the multi-dimensional sound effect demand indicators covering low-frequency impact, mid-frequency clarity, high-frequency delicacy, sound field uniformity, etc. based on these parameters; collect the detailed performance parameters of each speaker in the audio equipment, including frequency response curve, power output capacity, distortion, directivity characteristics, etc., to obtain the speaker performance parameter set, and use the similarity calculation model and matching evaluation algorithm to compare and quantify the performance parameters of each speaker with the sound effect demand indicators one by one, evaluate the matching degree between them, set a reasonable matching threshold, and eliminate the speakers with matching degrees lower than the threshold to obtain the speaker screening results that meet the sound effect requirements, and use advanced acoustic measurement equipment and professional acoustic analysis software to obtain the room acoustic characteristic parameters. Specifically, by arranging multiple measurement points in the room, using sound level meters, microphone arrays, etc. The equipment collects sound signals and analyzes parameters such as room size, shape, reverberation time, reflection path, sound absorption coefficient and sound field distribution. For the reverberation time, the impulse response measurement method is used to accurately calculate it by analyzing the attenuation process of sound in the room. The reflection path is determined by simulating the propagation trajectory of sound in the room through the sound ray tracing algorithm; the sound absorption coefficient is obtained by measuring the sound absorption performance of different materials using the standing wave tube method or the reverberation chamber method; based on the speaker screening results and the room acoustic characteristic parameters, a multi-objective optimization algorithm is used to generate an optimization plan for the speaker layout. Specifically, the objective functions are to achieve the highest sound field uniformity, the most accurate sound effect positioning, and the minimum low-frequency standing wave interference. At the same time, the physical size of the speaker, installation location restrictions, wiring rationality and other constraints are considered. Genetic algorithms or particle swarm optimization algorithms are used to iteratively search in the multi-dimensional solution space, and the position, angle and spatial distribution of the speakers are continuously adjusted to find the optimal speaker layout combination, and finally the speaker layout optimization plan is obtained.

[0056] Evaluate the matching degree between the sound effect requirement index and the speaker performance parameter set, and screen the speakers in the audio device based on the matching evaluation result. The specific execution steps for obtaining the speaker screening result are: collect the frequency response range, power output capacity and distortion of each speaker in the audio device to obtain the speaker performance parameter set, which includes the performance parameters of each speaker; calculate the similarity between the performance parameters of each speaker and the sound effect index to obtain the corresponding matching degree; eliminate the speakers with a matching degree lower than the preset threshold to obtain the speaker screening result.

[0057] By sending test signals of different frequencies, the frequency response range of each speaker is measured, and its output amplitude and phase response at different frequencies are recorded; the power output capacity of the speaker under different input signals is measured using a power meter to obtain its maximum power, rated power and other parameters; the distortion tester is used to detect the distortion of the speaker at different volumes and frequencies, and specific values ​​such as harmonic distortion and intermodulation distortion are obtained. These data are integrated to form a speaker performance parameter set containing detailed information such as the frequency response range, power output capacity and distortion of each speaker. For each speaker, the cosine similarity algorithm is used to calculate the similarity between its performance parameters and the sound effect index, and the frequency response range of the speaker is compared with the frequency distribution requirements in the sound effect requirements to calculate the similarity between the two in the frequency domain. For the power output capacity, according to the dynamic range requirements in the sound effect requirements, the speaker power is evaluated to see whether it can meet the corresponding requirements and the similarity is calculated; for the distortion, according to the requirements for sound purity in the sound effect requirements, the similarity between the speaker distortion and the expected value is calculated, and the similarities of these three dimensions are comprehensively weighted to obtain the matching degree between each speaker and the sound effect index. A reasonable preset threshold is set, which can be adjusted according to the overall performance requirements of the audio device and the importance of the sound effect requirements. Speakers with a matching degree lower than the preset threshold are judged as unable to meet the sound effect requirements and are removed from the speaker list, thereby obtaining a speaker screening result that meets the sound effect requirements.

[0058] The specific execution steps for generating a speaker layout optimization plan based on the speaker screening results and the room acoustic characteristic parameters are as follows: based on the speaker screening results and the room acoustic characteristic parameters, set the objective function for speaker layout optimization; based on the physical size and installation position of each speaker, set constraints; use a genetic algorithm to perform iterative calculations under the set objective function and constraints to find the optimal speaker position, angle and spatial distribution combination, and output the speaker layout optimization plan.

[0059] Based on the speaker screening results, the speaker set participating in the layout optimization is determined. Combined with the room acoustic characteristic parameters, such as room size, shape, reverberation time, reflection path, sound absorption coefficient and sound field distribution, the objective function of speaker layout optimization is set. The objective function can comprehensively consider the sound field uniformity, sound clarity and surround sound effect. Among them, the sound field uniformity is measured by calculating the difference in sound pressure levels at different positions in the room, the sound clarity is evaluated based on the proportional relationship between direct sound and reflected sound, and the surround sound effect is determined based on the phase difference and time difference between the speakers. These indicators are quantified and weightedly summed to construct an objective function that can comprehensively reflect the advantages and disadvantages of the speaker layout.

[0060] Based on the physical size and installation position of each speaker, set constraints. Specifically, measure the length, width, and height of the speakers to determine the space they occupy. Combined with the room layout, consider the wall load-bearing capacity and wiring direction to determine the installation area. Based on acoustic requirements, set the minimum distance between speakers to prevent sound interference and ensure the best sound quality.

[0061] When using a genetic algorithm to perform iterative calculations under the set objective function and constraints to output a speaker layout optimization plan, first initialize a group of random speaker positions, angles and spatial distributions as population individuals, quantify objective functions such as sound field uniformity and sound clarity, and set weights to construct a fitness function. Screen feasible solutions based on constraints such as the physical size of the speaker, installation position and minimum spacing, generate a new population through selection, crossover and mutation operations, iterate generation by generation, retain individuals with high fitness, and eliminate individuals with low fitness until the termination conditions are met, and finally output an optimization plan for the optimal combination of speaker positions, angles and spatial distributions.

[0062] 204. Adjust the relative position, angle and spatial distribution of speakers in the audio equipment according to the optimal speaker layout plan; Control the electric adjustment structure in the audio equipment to adjust the relative position and angle of the speakers according to the speaker layout optimization plan; use angle sensors to determine whether the angle of each speaker is adjusted correctly; and verify whether the adjusted speaker spatial distribution meets the requirements of the speaker layout optimization plan.

[0063] With the help of the electric adjustment structure equipped with the audio equipment, the speakers are driven to move to the specified position and adjusted to the corresponding angle through preset control instructions. During the adjustment process, the angle sensor is used to monitor the angle changes of each speaker in real time, and the data fed back by the sensor is compared with the set value of the speaker layout optimization plan to determine whether the angle is accurately adjusted. After the adjustment is completed, the three-dimensional space measurement technology and acoustic simulation software are used to comprehensively verify whether the adjusted speaker space distribution strictly meets the requirements of the speaker layout optimization plan.

[0064] 205. Perform channel configuration based on the adjusted speaker layout and optimal playback mode; According to the acoustic requirements of the optimal playback mode, the correspondence between each sound element and the available channels is determined; based on the adjusted speaker layout, the sound signals of each channel are distributed to the corresponding speakers.

[0065] Analyze the acoustic characteristics of the optimal playback mode, clarify the positioning and performance requirements of different sound elements in the sound field, such as dialogue, background music, ambient sound effects, etc., so as to determine the correspondence between each sound element and the available channels, and combine it with the adjusted speaker layout, considering the position, angle and performance characteristics of the speakers, use audio processing algorithms and mapping rules to distribute the sound signals of each channel to the corresponding speakers, to ensure that each speaker can accurately restore the sound element it is responsible for.

[0066] 206. Acquire an initial volume parameter matching the audio content type from a preset volume level library; Identify the audio content type and determine its type, such as music, movie, news, etc. The preset volume level library sets professionally adjusted initial volume parameter ranges for different audio types. Based on the recognition results, quickly retrieve and extract the matching initial volume parameters in the volume level library.

[0067] 207. Obtain the user's historical volume adjustment record in the user's historical preference data; Access a database dedicated to storing user preference data, which records the volume adjustment operations performed by users on different audio content types when using audio devices in the past, including adjustment time, amplitude, audio type and other information. Through a specific query algorithm, historical volume adjustment records related to the target audio can be accurately filtered out from massive data.

[0068] 208. Collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment to generate an environmental feature vector; Environmental sensors are used to collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment. The noise intensity value, spatial echo parameters and ambient light intensity data of the current environment are input into a preset environmental analysis model to obtain an environmental feature vector. The environmental analysis model is used in a machine learning model based on multimodal data fusion to output a normalized environmental feature vector by jointly learning the nonlinear mapping relationship between noise intensity, spatial echo and light intensity.

[0069] 209. Adjust the initial volume parameter based on the user's historical volume adjustment record and the environment feature vector, and apply the adjusted volume parameter to the audio device.

[0070] Utilize the user's historical volume adjustment records to calculate the user's average volume adjustment offset for the same type of audio content and in similar environments; input the preset volume compensation regression model based on the environmental feature vector, and output the corresponding environmental volume compensation coefficient by analyzing the synergistic influence of noise intensity, spatial echo and light intensity; determine the adjusted volume parameters based on the average volume adjustment offset, the environmental volume compensation coefficient and the initial volume parameters.

[0071] The audio content types in the user's historical volume adjustment records are classified through text recognition and feature extraction technology. At the same time, the sensor data and pattern recognition algorithm are combined to quantify the environmental similarity index based on factors such as temperature, humidity, and spatial layout. The adjustment records with similar audio content and within the similarity threshold are screened out, and the offset data of each adjustment is extracted. The arithmetic average method is used to add up all valid offsets and divide them by the number of records to obtain the average volume adjustment offset, which reflects the user's general volume preference trend in this type of audio and environment.

[0072] The volume compensation regression model adopts a deep learning architecture and uses a large amount of labeled environmental features and corresponding volume compensation coefficient data for pre-training. During the model training process, the network parameters are continuously optimized through the back propagation algorithm to accurately learn the synergistic influence relationship between noise intensity, spatial echo and light intensity. In actual application, the collected environmental feature vector is input into the trained model, and the model calculates and outputs the corresponding environmental volume compensation coefficient through forward propagation.

[0073] Set the first weight for the average volume adjustment offset , The environment volume compensation coefficient sets the second weight , + =1, the comprehensive adjustment coefficient is calculated based on the initial volume parameter, the average volume adjustment offset, the ambient volume compensation coefficient, the first weight and the second weight , and calculate the adjusted volume parameters based on the comprehensive adjustment coefficient and the initial volume parameters.

[0074] Comprehensive adjustment parameters The calculation formula is:

[0075] Adjusted volume parameter = initial volume parameter ×

[0076] For example, if the initial volume parameter is set to 50, the average volume adjustment offset is 7.2, and the ambient volume compensation coefficient is 0.8, =0.5, =0.5, then , then the adjusted volume parameter = 50 × 0.972 ≈ 49. If the initial volume parameter is set to 50, the average volume adjustment offset is 7.2, and the ambient volume compensation coefficient is 0.8, =0.7, =0.3, then , then the adjusted volume parameter = 50×1.0408≈52.

[0077] In an embodiment of the present invention, by obtaining the type and audio format information of the current input signal source, based on the type and audio format information of the input signal source, the audio content type is identified and the optimal playback mode is determined, the sound effect requirements are analyzed based on the optimal playback mode, and a speaker layout optimization plan is generated in combination with a speaker performance parameter set and spatial acoustic characteristics, the relative position, angle and spatial distribution of the speakers in the audio device are adjusted according to the speaker layout optimization plan, and the channel configuration is performed based on the adjusted speaker layout and the optimal playback mode, and an initial volume parameter matching the audio content type is obtained from a preset volume level library, and a user's historical volume adjustment record in the user's historical preference data is obtained. The noise intensity value, spatial echo parameter and ambient light intensity data of the current environment are collected to generate an environmental feature vector, and the initial volume parameter is adjusted based on the user's historical volume adjustment record and the environmental feature vector, so as to realize personalized adaptive volume adjustment, perform parameter configuration based on multiple factors, adapt to different audio content and diversified scenes, greatly improve the configuration accuracy of the audio device, and bring users a more high-quality, comfortable and demand-oriented audio experience in different scenes.

[0078] The above describes the parameter configuration method of the audio device in the embodiment of the present invention. The following describes the parameter configuration device of the audio device in the embodiment of the present invention. Figure 3 , an embodiment of a parameter configuration device for an audio device in an embodiment of the present invention includes: The acquisition module 301 is used to acquire the type and audio format information of the current input signal source; Identification module 302, for identifying the audio content type and determining the best playback mode based on the type of input signal source and audio format information; An adjustment module 303 is used to adjust the speaker combination and channel configuration of the audio device based on the optimal playback mode; The adjustment module 304 is used to match the volume level according to the audio content type and perform adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis.

[0079] In an embodiment of the present invention, by obtaining the type and audio format information of the current input signal source; based on the type and audio format information of the input signal source, identifying the audio content type and determining the optimal playback mode, adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode, matching the volume level according to the audio content type, and performing adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis, full consideration is given to various factors, adapting to different audio content and diverse scenarios, improving the accuracy of audio device parameter configuration, and realizing personalized volume setting, which can provide users with high-quality and comfortable audio experience in different scenarios, and greatly improving the use effect of the audio device and user satisfaction.

[0080] See also Figure 4 Another embodiment of the parameter configuration device of the audio device in the embodiment of the present invention includes: The acquisition module 301 is used to acquire the type and audio format information of the current input signal source; Identification module 302, used to identify the audio content type and determine the best playback mode based on the type of input signal source and audio format information; An adjustment module 303 is used to adjust the speaker combination and channel configuration of the audio device based on the optimal playback mode; The adjustment module 304 is used to match the volume level according to the audio content type and perform adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis.

[0081] Optionally, the acquisition module 301 may be specifically used for: Detect the type of the currently connected input signal source through the interface of the audio device, the type of the input signal source includes at least one of Bluetooth, Wi-Fi, and wired interface; parse the audio format of the input signal source, the audio format includes at least one of MP3, WAV, FLAC, and AAC; identify the sampling rate and bit depth of the input signal source to obtain complete audio format information.

[0082] Optionally, the identification module 302 may be specifically used for: Based on the type of input signal source and audio format information, the corresponding audio content type is queried in the database; based on the hardware performance of the audio device, current environmental conditions and user historical preferences, the fitness score of each playback mode corresponding to the current audio content type is calculated; and the playback mode with the highest fitness score is selected as the optimal playback mode. Optionally, the adjustment module 303 includes: The first generating unit 3031 is used to analyze the sound effect requirements based on the optimal playback mode, and generate a speaker layout optimization solution in combination with the speaker performance parameter set and the spatial acoustic characteristics; The first adjustment unit 3032 is used to adjust the relative position, angle and spatial distribution of the speakers in the audio device according to the speaker layout optimization plan; The configuration unit 3033 is used to perform channel configuration based on the adjusted speaker layout and the optimal playback mode.

[0083] Optionally, the first generating unit 3031 includes: The determination subunit 30311 is used to analyze the sound effect characteristic parameters in the optimal playback mode and determine the sound effect requirement index based on the sound effect characteristic parameters; The screening subunit 30312 is used to evaluate the matching degree between the sound effect requirement index and the speaker performance parameter set, and screen the speakers in the audio device based on the matching degree evaluation result to obtain the speaker screening result; An acquisition subunit 30313 is used to acquire room acoustic characteristic parameters, where the room acoustic characteristic parameters include room size, shape, reverberation time, reflection path, sound absorption coefficient, and sound field distribution; The generating subunit 30314 is used to generate a speaker layout optimization solution based on the speaker screening results and the room acoustic characteristic parameters.

[0084] Optionally, the screening subunit 30312 may be specifically used for: The frequency response range, power output capacity and distortion of each speaker in the audio device are collected to obtain a speaker performance parameter set, which includes the performance parameters of each speaker; the similarity between the performance parameters of each speaker and the sound effect index is calculated to obtain the corresponding matching degree; the speakers with matching degrees lower than a preset threshold are eliminated to obtain the speaker screening results.

[0085] Optionally, the generating subunit 30314 may be specifically used for: Based on the speaker screening results and room acoustic characteristic parameters, the objective function of speaker layout optimization is set; based on the physical size and installation position of each speaker, constraints are set; a genetic algorithm is used to perform iterative calculations under the set objective function and constraints to find the optimal combination of speaker position, angle and spatial distribution, and output the speaker layout optimization plan.

[0086] Optionally, the configuration unit 3033 may be specifically used for: According to the acoustic requirements of the optimal playback mode, the correspondence between each sound element and the available channels is determined; based on the adjusted speaker layout, the sound signals of each channel are distributed to the corresponding speakers.

[0087] Optionally, the adjustment module 304 includes: A matching unit 3041 is used to obtain an initial volume parameter matching the audio content type from a preset volume level library; An acquisition unit 3042 is used to acquire a user's historical volume adjustment record in the user's historical preference data; The second generating unit 3043 is used to collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment to generate an environmental feature vector; The second adjustment unit 3044 is used to adjust the initial volume parameter based on the user's historical volume adjustment record and the environment feature vector, and apply the adjusted volume parameter to the audio device.

[0088] Optionally, the second generating unit 3043 may be specifically configured to: Environmental sensors are used to collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment. The noise intensity value, spatial echo parameters and ambient light intensity data of the current environment are input into a preset environmental analysis model to obtain an environmental feature vector. The environmental analysis model is used in a machine learning model based on multimodal data fusion to output a normalized environmental feature vector by jointly learning the nonlinear mapping relationship between noise intensity, spatial echo and light intensity.

[0089] Optionally, the second adjustment unit 3044 may be specifically configured to: Utilize the user's historical volume adjustment records to calculate the user's average volume adjustment offset for the same type of audio content and in similar environments; input the preset volume compensation regression model based on the environmental feature vector, and output the corresponding environmental volume compensation coefficient by analyzing the synergistic influence of noise intensity, spatial echo and light intensity; determine the adjusted volume parameters based on the average volume adjustment offset, the environmental volume compensation coefficient and the initial volume parameters.

[0090] In an embodiment of the present invention, by obtaining the type and audio format information of the current input signal source, based on the type and audio format information of the input signal source, the audio content type is identified and the optimal playback mode is determined, the sound effect requirements are analyzed based on the optimal playback mode, and a speaker layout optimization plan is generated in combination with a speaker performance parameter set and spatial acoustic characteristics, the relative position, angle and spatial distribution of the speakers in the audio device are adjusted according to the speaker layout optimization plan, and the channel configuration is performed based on the adjusted speaker layout and the optimal playback mode, and an initial volume parameter matching the audio content type is obtained from a preset volume level library, and a user's historical volume adjustment record in the user's historical preference data is obtained. The noise intensity value, spatial echo parameter and ambient light intensity data of the current environment are collected to generate an environmental feature vector, and the initial volume parameter is adjusted based on the user's historical volume adjustment record and the environmental feature vector, so as to realize personalized adaptive volume adjustment, perform parameter configuration based on multiple factors, adapt to different audio content and diversified scenes, greatly improve the configuration accuracy of the audio device, and bring users a more high-quality, comfortable and demand-oriented audio experience in different scenes.

[0091] above Figure 3 and Figure 4 The parameter configuration device of the audio device in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The electronic device in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0092] See also Figure 5 As shown, the electronic device includes a processor 500 and a memory 501 . The memory 501 stores machine executable instructions that can be executed by the processor 500 . The processor 500 executes the machine executable instructions to implement the parameter configuration method of the above audio device.

[0093] Further, Figure 5 The electronic device shown further includes a bus 502 and a communication interface 503 , and the processor 500 , the communication interface 503 and the memory 501 are connected via the bus 502 .

[0094] Among them, the memory 501 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), for example, at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 503 (which can be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. can be used. The bus 502 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0095] The processor 500 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 500. The above processor 500 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present disclosure can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present disclosure can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 501 , and the processor 500 reads the information in the memory 501 and completes the method steps of the above-mentioned embodiment in combination with its hardware.

[0096] The present invention also provides an electronic device, wherein the computer device includes a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the parameter configuration method of the audio device in the above-mentioned embodiments. The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer executes the steps of the parameter configuration method of the audio device.

[0097] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0098] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0099] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A parameter configuration method for an audio device, characterized in that: The parameter configuration method of the audio device comprises: Get the type and audio format information of the current input signal source; Based on the type of the input signal source and the audio format information, identifying the audio content type and determining the best playback mode; Adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode; The volume level is matched according to the audio content type, and adaptive volume adjustment of the audio device is performed in combination with user preference and environmental analysis.

2. The method for configuring parameters of an audio device according to claim 1, characterized in that: The obtaining of the type and audio format information of the current input signal source includes: Detecting the type of a currently connected input signal source through an interface of the audio device, where the type of the input signal source includes at least one of Bluetooth, Wi-Fi, and a wired interface; Parsing the audio format of the input signal source, wherein the audio format includes at least one of MP3, WAV, FLAC, and AAC; Identify the sampling rate and bit depth of the input signal source to obtain complete audio format information.

3. The method for configuring parameters of an audio device according to claim 1, characterized in that: The step of identifying the audio content type and determining the best playback mode based on the type of the input signal source and the audio format information includes: Based on the type of the input signal source and the audio format information, querying a database for a corresponding audio content type; Calculate the suitability score of each playback mode for the current audio content type based on the hardware performance of the audio device, the current environmental conditions, and the user's historical preferences; The playback mode with the highest fitness score is selected as the optimal playback mode.

4. The method for configuring parameters of an audio device according to claim 1, characterized in that: The adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode includes: Analyze the sound effect requirements based on the optimal playback mode, and generate a speaker layout optimization solution based on the speaker performance parameter set and spatial acoustic characteristics; Adjusting the relative position, angle and spatial distribution of speakers in the audio device according to the speaker layout optimization plan; Channel configuration is performed based on the adjusted speaker layout and the optimal playback mode.

5. The method for configuring parameters of an audio device according to claim 4, characterized in that: The analyzing the sound effect requirements based on the optimal playback mode and generating a speaker layout optimization solution in combination with a speaker performance parameter set and room acoustic characteristic parameters include: Analyzing the sound effect characteristic parameters in the optimal playback mode, and determining the sound effect requirement index based on the sound effect characteristic parameters; Evaluate the matching degree between the sound effect requirement index and the speaker performance parameter set, and screen the speakers in the audio device based on the matching degree evaluation result to obtain a speaker screening result; Acquiring room acoustic characteristic parameters, wherein the room acoustic characteristic parameters include room size, shape, reverberation time, reflection path, sound absorption coefficient, and sound field distribution; A speaker layout optimization solution is generated based on the speaker screening results and the room acoustic characteristic parameters.

6. The method for configuring parameters of an audio device according to claim 5, characterized in that: The evaluating the matching degree between the sound effect requirement index and the speaker performance parameter set, and screening the speakers in the audio device based on the matching degree evaluation result to obtain the speaker screening result, includes: Collecting the frequency response range, power output capability and distortion of each speaker in the audio device to obtain a speaker performance parameter set, wherein the speaker performance parameter set includes performance parameters of each speaker; Calculate the similarity between the performance parameters and sound effect indicators of each speaker to obtain the corresponding matching degree; The speakers whose matching degree is lower than the preset threshold are eliminated to obtain the speaker screening result.

7. The method for configuring parameters of an audio device according to claim 5, characterized in that: The generating a speaker layout optimization scheme based on the speaker screening result and the room acoustic characteristic parameters comprises: Based on the speaker screening result and the room acoustic characteristic parameters, setting an objective function for speaker layout optimization; Set constraints based on the physical size and installation location of each speaker; A genetic algorithm is used to perform iterative calculations under the set objective function and constraints to find the optimal combination of speaker position, angle and spatial distribution, and output the speaker layout optimization plan.

8. The method for configuring parameters of an audio device according to claim 4, characterized in that: The adjusting the relative position, angle and spatial distribution of the speakers in the audio device according to the speaker layout optimization scheme includes: Controlling the electric adjustment structure in the audio device to adjust the relative position and angle of the speakers according to the speaker layout optimization plan; Use angle sensors to determine whether the angles of each speaker are adjusted correctly; Verify whether the adjusted speaker spatial distribution meets the requirements of the speaker layout optimization solution.

9. The method for configuring parameters of an audio device according to claim 4, characterized in that: The channel configuration based on the adjusted speaker layout and the optimal playback mode includes: Determining a correspondence between each sound element and an available channel according to the acoustic requirements of the optimal playback mode; Based on the adjusted speaker layout, the sound signals of each channel are distributed to the corresponding speakers.

10. The method for configuring parameters of an audio device according to claim 1, characterized in that: The matching of the volume level according to the audio content type and the adaptive volume adjustment of the audio device in combination with user preference and environment analysis include: Acquire an initial volume parameter matching the audio content type from a preset volume level library; Obtain the user's historical volume adjustment records in the user's historical preference data; Collect the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment to generate an environmental feature vector; Based on the historical volume adjustment record of the user and the environmental feature vector, the initial volume parameter is adjusted, and the adjusted volume parameter is applied to the audio device.

11. The method for configuring parameters of an audio device according to claim 10, characterized in that: The collecting of the noise intensity value, spatial echo parameters and ambient light intensity data of the current environment to generate an environmental feature vector includes: Use environmental sensors to collect the current environment's noise intensity value, spatial echo parameters, and ambient light intensity data; The noise intensity value, spatial echo parameters and ambient light intensity data of the current environment are input into a preset environmental analysis model to obtain an environmental feature vector. The environmental analysis model is used in a machine learning model based on multimodal data fusion to output a normalized environmental feature vector by jointly learning the nonlinear mapping relationship between noise intensity, spatial echo and light intensity.

12. The method for configuring parameters of an audio device according to claim 10, characterized in that: The adjusting the initial volume parameter based on the user's historical volume adjustment record and the environmental feature vector includes: Utilizing the historical volume adjustment records of the user, calculating the average volume adjustment offset of the user under the same audio content type and in a similar environment; Based on the environmental feature vector, a preset volume compensation regression model is input, and the corresponding environmental volume compensation coefficient is output by analyzing the synergistic influence relationship among noise intensity, spatial echo and light intensity; An adjusted volume parameter is determined based on the average volume adjustment offset, the ambient volume compensation coefficient and an initial volume parameter.

13. A parameter configuration device for an audio device, characterized in that: The parameter configuration device of the audio device comprises: An acquisition module is used to obtain the type and audio format information of the current input signal source; An identification module, used to identify the audio content type and determine the best playback mode based on the type of the input signal source and the audio format information; An adjustment module, used for adjusting the speaker combination and channel configuration of the audio device based on the optimal playback mode; The adjustment module is used to match the volume level according to the audio content type and perform adaptive volume adjustment of the audio device in combination with user preferences and environmental analysis.

14. An electronic device, characterized in that: The electronic device comprises: a memory and at least one processor, wherein instructions are stored in the memory; The at least one processor calls the instructions in the memory to enable the electronic device to execute the parameter configuration method of the audio device as described in any one of claims 1-12.

15. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the parameter configuration method of the audio device according to any one of claims 1 to 12 is implemented.

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