Sound quality intelligent regulation and control method and related device

Abstract

The invention discloses a sound quality intelligent regulation and control method and a related device, which can be used in the field of sound quality regulation and control, and the method comprises the steps: respectively collecting the audio parameters of each sound unit, so as to obtain a sound pressure intensity distribution table of each sound unit in each frequency band; on the basis of the sound pressure intensity distribution table and a preset standard sound pressure distribution table, identifying abnormal units with sound pressure deviations exceeding a normal sound pressure deviation range in the plurality of sound units and intensity deviation calculated values corresponding to the abnormal units; modifying a driving voltage signal of an abnormal unit based on the intensity deviation calculation value and a sound pressure amplitude and phase delay extracted from a normal unit in the plurality of sound units, and updating the overall sound field sound pressure distribution; and determining a target stable sound pressure parameter combination according to the updated sound field sound pressure distribution and the target sound pressure distribution template. Therefore, the audio amplification module is adjusted in real time through the target stable sound pressure parameter combination, coherent sound quality playing signals are output, and the sound effect performance of the sound system with the multiple sound units is improved.

Description

Technical Field

[0001] This application relates to the field of sound quality control technology, and in particular to a method and device for intelligent sound quality control of audio equipment. Background Technology

[0002] With the rapid development of smart speaker technology, the collaborative operation of multiple speaker devices has become the mainstream solution for building a high-quality listening environment, and is widely used in scenarios such as home theaters, concert halls and professional recording studios.

[0003] Currently, multi-speaker collaborative systems primarily rely on static calibration and preset parameters to achieve spatial consistency and sound quality coherence in the sound field, providing users with an immersive listening experience. However, in dynamic operating environments, during long-term system operation, the performance of each speaker unit can fluctuate due to factors such as component aging and changes in ambient temperature and humidity. This causes the originally precise phase relationship and frequency response consistency to gradually deviate from the design standards. When a device in the speaker array experiences frequency response shifts due to aging, it directly disrupts the coherent superposition effect of the entire sound field, resulting in abnormal energy distribution in specific frequency bands. Furthermore, there is a complex interrelationship between the performance fluctuations of individual speaker units and the overall sound field stability. The dynamic and covert nature of performance fluctuations makes it difficult for the system to identify abnormal devices in a timely manner, and undetected local anomalies gradually spread, ultimately impairing the frequency response smoothness of the entire sound field system, creating a vicious cycle.

[0004] Therefore, improving the sound performance of multi-speaker audio systems has become a key issue in enhancing the overall performance of smart audio systems. Summary of the Invention

[0005] To address the aforementioned issues, this application provides a method and apparatus for intelligent control of audio quality, which can improve the sound performance of a multi-speaker audio system.

[0006] The embodiments of this application disclose the following technical solutions: In a first aspect, embodiments of this application provide a method for intelligent control of audio sound quality, the method comprising: The audio parameters of each speaker unit were collected separately to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band. Based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, identify abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range, and the intensity deviation calculation value corresponding to the abnormal unit. Based on the calculated intensity deviation value, and the sound pressure amplitude and phase delay extracted from the normal units among multiple audio units, the driving voltage signal of the abnormal unit is modified to update the overall sound field sound pressure distribution. Based on the updated sound field sound pressure distribution and the target sound pressure distribution template, a target stable sound pressure parameter combination is determined; the target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all audio units.

[0007] Optionally, the step of collecting the audio parameters of each speaker unit to obtain a sound pressure intensity distribution table for each speaker unit in each frequency band includes: The audio voltage signal amplitude, sound pressure level, and ambient temperature and humidity parameters of each speaker unit were collected to obtain the audio parameters of each speaker unit. Calculate the signal of each frequency band based on the audio parameters, and determine the sound pressure intensity value of each frequency band; Based on the ambient temperature and humidity parameters and the preset compensation formula, the sound pressure intensity value of the frequency band is adjusted to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band; the compensation formula is used to determine the compensation parameters based on the product of the preset temperature and humidity correction coefficient and the sound pressure intensity value of the frequency band.

[0008] Optionally, the step of identifying abnormal units among multiple speaker units whose sound pressure deviation exceeds the normal sound pressure deviation range, and the corresponding intensity deviation calculation value of the abnormal units, based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, includes: The reference intensity for each frequency band is obtained according to the preset standard sound pressure distribution table; Based on the sound pressure intensity distribution table and the reference intensity, the intensity deviation is calculated. Based on the calculated intensity deviation value and the preset normal sound pressure deviation range, abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range are identified.

[0009] Optionally, modifying the driving voltage signal of the abnormal unit and updating the overall sound field sound pressure distribution based on the calculated intensity deviation value and the sound pressure amplitude and phase delay extracted from the normal units among the multiple speaker units includes: Based on the calculated intensity deviation value, analyze the influence range of the abnormal unit on the overall sound field and determine the frequency band interval; The sound pressure adjustment factor for the frequency band is determined based on the sound pressure amplitude and phase delay extracted from the normal units among multiple audio units. The driving voltage signal of the abnormal unit is modified according to the sound pressure adjustment factor to update the overall sound pressure distribution of the sound field.

[0010] Optionally, determining the sound pressure adjustment factor for the frequency band based on the sound pressure amplitude and phase delay extracted from normal units among multiple speaker units includes: Collect sound wave signals emitted by normal units among multiple speaker units; Perform a Fourier transform on the acoustic signal to obtain frequency domain data including amplitude spectrum and phase spectrum; The sound pressure amplitude is extracted based on the amplitude spectrum, and the delay difference is extracted based on the phase spectrum to determine the phase delay; Based on the sound pressure amplitude and the phase delay, the sound pressure adjustment factor for the frequency band is determined.

[0011] Optionally, determining the target stable sound pressure parameter combination based on the updated sound field sound pressure distribution and the target sound pressure distribution template includes: Extract distribution difference features based on the updated sound field sound pressure distribution; The matching degree is obtained by matching the distribution difference characteristics and the target sound pressure distribution template. Based on the matching degree, multiple stable sound pressure parameter combinations are verified through compensation effect to obtain quantitative indicators of compensation effect; The target stable sound pressure parameter combination is determined based on the quantitative index of the compensation effect.

[0012] Optionally, after determining the stable sound pressure parameter combination of each speaker unit based on the updated sound field sound pressure distribution and the target sound pressure distribution template, the method further includes: Audio sampling data is extracted from the sound quality playback signal output based on the stable sound pressure parameter combination; The waveform consistency between the audio sampling data and the initial playback signal is analyzed to obtain a waveform consistency index; The difference between the waveform consistency index and the spectral characteristics of the initial playback signal is calculated to determine the consistency deviation sequence; The signal fluctuation amplitude is calculated based on the consistency deviation sequence, and an operational stability report is generated.

[0013] Secondly, embodiments of this application provide an intelligent audio quality control device, the device comprising: The acquisition module is used to acquire the audio parameters of each speaker unit to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band. The identification module is used to identify, based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range, and the sound pressure deviation corresponding to the abnormal units. An update module is used to modify the driving voltage signal of the abnormal unit based on the sound pressure deviation and the sound pressure amplitude and phase delay extracted from the normal unit among multiple audio units, thereby updating the overall sound field sound pressure distribution. The determination module is used to determine the stable sound pressure parameter combination of each speaker unit based on the updated sound field sound pressure distribution and the target sound pressure distribution template.

[0014] Thirdly, embodiments of this application provide an intelligent audio quality control device, the device comprising: a memory and a processor; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the steps of the intelligent audio quality control method according to any embodiment of the first aspect, based on the program code.

[0015] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program. When the computer program is run on an intelligent audio quality control device, the intelligent audio quality control device performs the steps of the intelligent audio quality control method described in any embodiment of the first aspect.

[0016] Compared with the prior art, this application has the following beneficial effects: This application provides an intelligent sound quality control method for audio equipment. First, audio parameters of each speaker unit are collected to obtain a sound pressure intensity distribution table for each speaker unit in each frequency band. Then, based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, abnormal units among multiple speaker units whose sound pressure deviation exceeds the normal sound pressure deviation range are identified, along with the calculated intensity deviation value corresponding to the abnormal unit. Next, based on the calculated intensity deviation value, and the sound pressure amplitude and phase delay extracted from normal units among multiple speaker units, the driving voltage signal of the abnormal unit is modified to update the overall sound field sound pressure distribution. Finally, based on the updated sound field sound pressure distribution and the target sound pressure distribution template, a target stable sound pressure parameter combination is determined. This target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all speaker units.

[0017] Therefore, to address the issue of uneven sound field caused by abnormal units when multiple speaker units work together, this solution collects the audio parameters of each unit in real time, generates a sound pressure intensity distribution table, and compares it with a preset standard sound pressure distribution table. This accurately identifies abnormal units and obtains the intensity deviation calculation value corresponding to the abnormal units. The driving voltage signal of the abnormal units is dynamically modified, the overall sound field sound pressure distribution is updated, and a target stable sound pressure parameter combination with good compensation effect is determined. Finally, the audio amplification module can be adjusted in real time through the target stable sound pressure parameter combination to output a coherent sound quality playback signal and improve the sound performance of the multi-speaker unit audio system. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A flowchart of an intelligent sound quality control method provided in this application embodiment; Figure 2 A flowchart of a method for generating an operational stability report is provided in this application embodiment; Figure 3 A schematic diagram of an intelligent audio quality control device provided in this application embodiment; Figure 4 This is a structural diagram of an intelligent audio quality control device provided in an embodiment of this application. Detailed Implementation

[0020] The intelligent audio quality control method and related device provided in this application can be used in the field of audio quality control. The above is only an example and does not limit the application field of the intelligent audio quality control method and related device provided in this application.

[0021] The terms "first," "second," "third," and "fourth," etc., used in this application specification, claims, and drawings are used to distinguish different objects, not to limit a specific order.

[0022] In the embodiments of this application, the terms "as an example" or "for example" are used to indicate that they are examples, illustrations, or explanations. Any embodiment or design that is described as "as an example" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Specifically, the use of terms such as "as an example" or "for example" is intended to present the relevant concepts in a specific manner.

[0023] The terminology used in the implementation section of this application is for the purpose of explaining specific embodiments of this application only, and is not intended to limit this application.

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0025] See Figure 1 The figure is a flowchart of an intelligent sound quality control method provided in an embodiment of this application. The method includes: S101: Collect the audio parameters of each speaker unit to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band.

[0026] As an example, the audio voltage signal amplitude, sound pressure level, and ambient temperature and humidity parameters of each speaker unit can be collected separately to obtain the audio parameters of each speaker unit.

[0027] For example, the built-in sensors installed inside each speaker unit in the audio system can detect voltage signals at a sampling rate of thousands of times per second, capture instantaneous changes, and collect the amplitude of the audio voltage signal, sound pressure level, and ambient temperature and humidity parameters of each speaker unit in real time.

[0028] Sound pressure level (SPL) refers to the logarithmic ratio of sound pressure to a reference pressure, usually expressed in decibels (dB). During the acquisition process, the built-in sensor converts sound pressure into an electrical signal and calculates its effective value to obtain the SPL value, which reflects the actual output level of the audio system.

[0029] During the operation of an audio system, temperature changes may affect the expansion of the speaker unit's materials, thus indirectly affecting audio output; humidity may cause changes in circuit impedance. Built-in sensors collect ambient temperature and humidity parameters at fixed intervals and store them as time series data, facilitating correlation analysis between ambient temperature and humidity and audio data.

[0030] The built-in sensor used to collect the amplitude and sound pressure level of the audio voltage signal can be a piezoelectric or condenser microphone, capable of capturing voltage fluctuations of the audio unit during playback; the built-in sensor used to collect ambient temperature and humidity parameters can be an integrated temperature and humidity sensor, using a digital sensor chip to monitor the ambient temperature and relative humidity in real time.

[0031] Then, based on the audio parameters, the signals of each frequency band are calculated to determine the sound pressure level value of each frequency band.

[0032] Specifically, a Fourier transform can be performed to convert the amplitude of the audio voltage signal from the time domain to the frequency domain spectrum. Then, according to the preset frequency band division, such as dividing the audio range from 20Hz to 20kHz into low frequency, mid frequency and high frequency, the average sound pressure intensity of each frequency band is calculated to determine the sound pressure intensity value of the frequency band.

[0033] Finally, based on the ambient temperature and humidity parameters and the preset compensation formula, the sound pressure intensity values ​​of the frequency bands are adjusted to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band.

[0034] Ambient temperature and humidity parameters are used to correct the sound pressure intensity calculation. The compensation parameters are determined by the product of the preset temperature and humidity correction coefficient and the frequency band sound pressure intensity value through the compensation formula, so as to compensate for the thermal expansion effect and improve the accuracy of the sound pressure intensity distribution table.

[0035] The sound pressure level distribution table is presented in tabular form, with each row corresponding to a frequency band. It lists the average and peak sound pressure levels for that frequency band, as well as the correction values ​​after adjusting for ambient temperature and humidity parameters. This distribution table can intuitively show the performance distribution of the speaker unit in different frequency bands.

[0036] This data acquisition and distribution table generation process improves the diagnostic efficiency of audio systems. For example, it can promptly alert users to maintenance needs when abnormal low-frequency intensity is detected, thereby extending equipment lifespan.

[0037] S102: Based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, identify abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range, and the corresponding intensity deviation calculation value of the abnormal units.

[0038] As an example, the reference intensity of each frequency band can be obtained first according to the preset standard sound pressure distribution table.

[0039] The preset standard sound pressure level distribution table can be generated from historical test data or manufacturer specifications. It is an ideal distribution predefined based on the audio system design specifications. For example, under standard conditions, the average standard sound pressure level (reference intensity) of the low frequency band is set to 80 dB, the average standard sound pressure level of the mid frequency band is set to 85 dB, and the average standard sound pressure level of the high frequency band is set to 90 dB.

[0040] The preset standard sound pressure distribution table can be updated by adjusting the average standard sound pressure level based on the historical sound pressure intensity distribution table after a fixed period, such as one month, thereby improving the timeliness of the comparison between the sound pressure intensity distribution table and the preset standard sound pressure distribution table.

[0041] Then, based on the sound pressure intensity distribution table and the reference intensity, the intensity deviation was calculated.

[0042] As an example, the sound pressure intensity distribution table can be aligned with the reference intensity band by band, and the absolute difference and / or relative percentage between the average actual sound pressure level of the band and the reference intensity can be calculated using the deviation calculation method to quantify the difference and obtain the intensity deviation calculation value.

[0043] For example, for a frequency band, if the actual average sound pressure level is 82 dB and the standard average sound pressure level is 80 dB, then the absolute difference is 2 dB. The relative deviation is the percentage of the actual average sound pressure level minus the standard average sound pressure level, divided by the standard average sound pressure level, which is 2.5%. This yields the intensity deviation calculated as 2 dB and / or 2.5%. The actual average sound pressure level can be calculated based on the corrected values ​​in the sound pressure intensity distribution table after adjustments for environmental temperature and humidity parameters.

[0044] For example, a weighting mechanism can also be introduced, such as assigning higher weights to the absolute difference and / or relative percentage corresponding to the high-frequency band that has a greater impact on sound quality, in order to obtain the intensity deviation calculation value.

[0045] The above intensity deviation calculation values ​​can be obtained through a preset sound field model. The preset sound field model can be constructed based on standard sound pressure distribution data. The input of the model is the location of the abnormal unit and the reference intensity, and the output is the intensity deviation calculation value.

[0046] Finally, based on the calculated intensity deviation value and the preset normal sound pressure deviation range, abnormal units among multiple speaker units whose sound pressure deviation exceeds the normal sound pressure deviation range are identified.

[0047] As an example, the preset normal sound pressure level deviation range can be set based on the audio industry's tolerance standards. Exceeding this range is considered abnormal. For example, the preset normal sound pressure level deviation range threshold can be ±5 dB or ±10%. The intensity deviation calculation value of each speaker unit is iterated. If the intensity deviation calculation value corresponding to any frequency band exceeds the preset normal sound pressure level deviation range, the speaker unit is marked as an abnormal unit.

[0048] For example, in a multi-speaker audio system, if the calculated intensity deviation of the high frequency of the left speaker is 7 dB, which exceeds the normal sound pressure deviation range of ±5 dB, then the speaker can be identified as an abnormal speaker.

[0049] In some embodiments, after identifying the abnormal unit, environmental temperature and humidity parameters can be correlated to perform root cause analysis. For example, if the intensity deviation is related to high temperature, the system's central processing unit can infer that the intensity deviation is affected by thermal expansion factors, and then issue a cooling command to the abnormal unit.

[0050] S103: Based on the intensity deviation calculation value, as well as the sound pressure amplitude and phase delay extracted from the normal units among multiple audio units, the driving voltage signal of the abnormal unit is modified to update the overall sound field sound pressure distribution.

[0051] As an example, one can first analyze the range of influence of abnormal units on the overall sound field based on the intensity deviation calculation value, and then determine the frequency band interval.

[0052] For example, if an abnormal unit is located on the left side of the speaker unit array, and its high-frequency intensity deviation causes sound pressure attenuation, the speaker system can divide the overall sound field into grid points by calculating the principle of sound wave superposition. The system can then simulate the sum of sound pressure under normal and abnormal conditions for each grid point and compare the differences in the sum of sound pressure at each grid point to determine the range of influence of sound pressure attenuation on the overall sound field.

[0053] Furthermore, the location and directionality of the abnormal unit can be combined to analyze the range of its influence on the overall sound field. For example, in a surround sound system, a rear-positioned abnormal unit has a greater impact on the audience area behind it. The range of influence in the audience area behind it can be estimated separately using the distance attenuation formula, thus obtaining a more comprehensive range of influence across the spatial dimensions covered.

[0054] Determining the frequency band interval depends on the analysis results of the affected area. Specifically, the audio system can summarize the frequency band sound pressure deviation distribution within the affected area to identify the frequency band interval with the most significant sound pressure deviation. For example, the audio system can use statistical methods, such as calculating the average sound pressure deviation, to sort the various frequency bands. If the analysis shows that the mid-frequency band has the largest sound pressure deviation within the affected area, then the frequency band interval can be determined to be from 500 Hz to 2000 Hz, corresponding to the mid-frequency band.

[0055] Then, based on the sound pressure amplitude and phase delay extracted from the normal units among multiple audio units, the sound pressure adjustment factor for the frequency band range is determined.

[0056] Specifically, the sound wave signals emitted by the normal unit in multiple audio units are first collected; then, the sound wave signals are subjected to Fourier transform to obtain frequency domain data including amplitude spectrum and phase spectrum; then, the sound pressure amplitude is extracted based on the amplitude spectrum, and the delay difference is extracted based on the phase spectrum to determine the phase delay; based on the sound pressure amplitude and phase delay, the sound pressure adjustment factor in the frequency band is determined.

[0057] For example, a microphone array can be used to collect sound wave signals emitted by normal units. Then, a Fourier transform is applied to convert the time-domain signal into a frequency-domain signal, thereby obtaining the amplitude spectrum and phase spectrum. The peak value in the amplitude spectrum is the sound pressure amplitude, representing the intensity level of the sound pressure. In this embodiment, the extracted sound pressure amplitude can be the average of the sound pressure amplitudes corresponding to multiple normal units. The phase delay is calculated based on the phase spectrum. For example, by performing cross-correlation between the reference signal of the normal unit and the signal in the frequency band, the time offset corresponding to the peak value is found, which is the phase delay. The phase delay is used to reflect the time lag in signal propagation. This extraction ensures the accuracy of the parameters and provides a reliable basis for subsequent compensation.

[0058] The sound pressure adjustment factor (SPL) for a frequency band is calculated based on the extracted SPL amplitude and phase delay. For example, assuming the normal unit has a SPL amplitude of P0 and a phase delay of θ0, for the frequency band to be compensated, its current SPL amplitude P1 and phase delay θ1 are measured. The SPL adjustment factor K can be estimated using the formula K = P0 / P1 * cos(θ0 - θ1), where the cosine function considers the effect of phase difference on pressure. This calculation method considers the combined effect of amplitude and phase, enabling the compensated sound field to tend towards uniformity.

[0059] Finally, the driving voltage signal of the abnormal unit is modified according to the sound pressure adjustment factor to update the overall sound pressure distribution of the sound field.

[0060] The sound pressure adjustment factor serves as a compensation factor, used to amplify or reduce the input signal to restore a balanced output. For example, if the original signal amplitude is V, the corrected amplitude is V multiplied by the sound pressure adjustment factor to ensure that the output sound pressure of the abnormal unit is close to the normal level.

[0061] Specifically, the driving voltage signal of the abnormal unit can be obtained first, and the abnormal features can be extracted from the driving voltage signal by comparing the amplitude difference between the driving voltage signal of the abnormal unit and the driving voltage signal of the normal unit. Then, for the abnormal features, the weighted average compensation algorithm is used to calculate the adjustment parameters to obtain the modified driving voltage signal. The modified driving voltage signal is used to synthesize an audio waveform, and the audio waveform is subjected to time-domain filtering to generate a new audio output waveform. Finally, the sound field parameters are extracted from the new audio output waveform, and the spatial coordinate weights are updated based on the sound field parameters to update the overall sound field sound pressure distribution.

[0062] S104: Determine the target stable sound pressure parameter combination based on the updated sound field sound pressure distribution and the target sound pressure distribution template.

[0063] The target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all speaker units.

[0064] Specifically, the distribution difference features can be extracted first based on the updated sound field sound pressure distribution; then, the distribution difference features and the target sound pressure distribution template can be matched and calculated to obtain the matching degree.

[0065] As an example, the matching degree can be obtained by dividing the sum of squares of the differences in sound pressure values ​​between pixels and the target sound pressure distribution template by the total number of pixels, thus quantifying the accuracy of the compensation effect. The target sound pressure distribution template can be constructed based on an ideal sound field model, containing uniformly distributed sound pressure reference values.

[0066] As an example, for conference room sound field compensation, a target sound pressure distribution template can be generated based on room dimensions and speaker locations, containing sound pressure curves from low to high frequencies. The updated sound field sound pressure distribution data is derived from real-time measurements, such as sound pressure field maps captured using a microphone array. The updated sound field sound pressure distribution is verified to meet the requirements of the target sound pressure distribution template through pixel-level comparison or area average matching. This comparison not only assesses overall uniformity but also checks for local peak deviations, ensuring that the compensated sound field is free of significant unevenness.

[0067] Subsequently, based on the matching degree, the stable sound pressure parameter combination was verified through the compensation effect, and the quantitative index of the compensation effect was obtained.

[0068] Specifically, if the matching degree is higher than the preset threshold, the combination of stable sound pressure parameters can be considered to be effective in compensation. The compensation effect can be verified to obtain a quantitative index of the compensation effect. For example, the difference between each sampling point in the updated sound field sound pressure distribution and the corresponding point of the target sound pressure distribution template can be calculated and summarized into a total error score to obtain a quantitative index of the compensation effect.

[0069] The stable sound pressure level (SPL) parameter combination can include sound pressure gain and phase shift. For example, the sound pressure gain can be 1.2 times the sound pressure adjustment factor, and the phase shift can be 0.5 milliseconds. The stable SPL parameter combination can be a single set or multiple sets. For instance, iterative adjustments can be made based on the initial stable SPL parameter combination, fine-tuning the parameters and updating the distribution to generate multiple stable SPL parameter combinations, thus obtaining a more optimal combination.

[0070] Finally, the target stable sound pressure parameter combination is determined based on the quantitative index of compensation effect.

[0071] Specifically, the combination of stable sound pressure parameters that indicates effective compensation and is within a preset stable range can be identified as the target stable sound pressure parameter combination.

[0072] This application provides an intelligent sound quality control method for audio equipment. First, audio parameters of each speaker unit are collected to obtain a sound pressure intensity distribution table for each speaker unit in each frequency band. Then, based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, abnormal units among multiple speaker units whose sound pressure deviation exceeds the normal sound pressure deviation range are identified, along with the calculated intensity deviation value corresponding to the abnormal unit. Next, based on the calculated intensity deviation value, and the sound pressure amplitude and phase delay extracted from normal units among multiple speaker units, the driving voltage signal of the abnormal unit is modified to update the overall sound field sound pressure distribution. Finally, based on the updated sound field sound pressure distribution and the target sound pressure distribution template, a target stable sound pressure parameter combination is determined. This target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all speaker units.

[0073] Therefore, to address the issue of uneven sound field caused by abnormal units when multiple speaker units work together, this solution collects the audio parameters of each unit in real time, generates a sound pressure intensity distribution table, and compares it with a preset standard sound pressure distribution table. This accurately identifies abnormal units and obtains the intensity deviation calculation value corresponding to the abnormal units. The driving voltage signal of the abnormal units is dynamically modified, the overall sound field sound pressure distribution is updated, and a target stable sound pressure parameter combination with good compensation effect is determined. Finally, the audio amplification module can be adjusted in real time through the target stable sound pressure parameter combination to output a coherent sound quality playback signal and improve the sound performance of the multi-speaker unit audio system.

[0074] The target stable sound pressure level (SPL) parameter combination is used to adjust the audio amplification module in real time, outputting a consistent audio playback signal. For example, in a speaker unit, if the stable SPL parameter combination indicates insufficient bass pressure, the audio system will increase the amplification of that speaker unit and simultaneously adjust adjacent speaker units to avoid distortion. This real-time update can be achieved based on a clock synchronization mechanism, ensuring that all speaker units complete adjustments within milliseconds, guaranteeing the continuity of audio output.

[0075] In one embodiment, a coherent audio playback signal is achieved by integrating updated audio amplification module output signals. The audio system can synthesize the audio amplification module output signals of each speaker unit into a single waveform and use smoothing algorithms, such as linear interpolation, to eliminate seams. For example, if the audio amplification module output signals of two speaker units have a phase difference, a phase intermediate value can be calculated for transition, resulting in a smooth and uninterrupted final output audio quality.

[0076] In another embodiment provided in this application, after determining the target stable sound pressure parameter combination, an operational stability report can also be generated to quantify the long-term operational reliability of the audio system.

[0077] Specifically, see Figure 2 The figure is a flowchart of a method for generating an operational stability report according to an embodiment of this application. The method includes: S201: Extract audio sampling data from the audio playback signal based on a stable combination of sound pressure parameters.

[0078] As an example, a digital signal processor (DSP) can be used to first convert the audio playback signal into digital form, then discretize it using a preset sampling rate to obtain a series of time-series data points. These data points represent the amplitude changes of the signal on the time axis, thus extracting the audio sampling data. The audio sampling data extracted in this way accurately reflects the dynamic characteristics of the output audio playback signal, providing a foundation for subsequent analysis.

[0079] S202: Analyze the waveform consistency between the audio sampling data and the initial playback signal to obtain the waveform consistency index.

[0080] As an example, the correlation coefficient calculation method can be used to quantify consistency. Specifically, the audio sampling data and the initial playback signal can be aligned within the same time window, and then the Pearson correlation coefficient can be calculated as a waveform consistency index. If the correlation coefficient is close to 1, it indicates that the waveform is highly consistent; otherwise, it indicates that there is distortion or deviation. For example, if the correlation coefficient is greater than 0.95, the waveform can be considered consistent.

[0081] S203: Calculate the difference between the waveform consistency index and the spectral characteristics of the initial playback signal to determine the consistency deviation sequence.

[0082] If the difference calculated exceeds a preset difference threshold, a new waveform consistency index can be obtained by weighted averaging of the audio sampling data and stable parameters through compensation fusion. The differences between multiple sets of waveform consistency indices and the spectral characteristics of the initial playback signal are calculated to obtain a consistency deviation sequence.

[0083] S204: Calculate the signal fluctuation amplitude based on the consistency deviation sequence and generate an operational stability report.

[0084] Specifically, the extraction and analysis process can be repeated in multiple consecutive playback tests. Signal fluctuation amplitude is calculated based on the consistency deviation sequence, generating an operational stability report to obtain the fluctuation status of waveform consistency indicators. This allows for early detection of potential faults and improves the reliability of the audio playback signal. The operational stability report can be output via log recording.

[0085] Furthermore, the operational stability report can integrate multi-dimensional indicators, such as combining waveform consistency indicators with the signal energy ratio. Specifically, the energy spectrum of the audio sampling data can be calculated and compared with the energy spectrum of the initial playback signal. If the signal energy ratio is stable within the range of 0.9 to 1.1, the audio system can be considered stable. This allows for the quantification of the long-term reliability of the audio system.

[0086] See Figure 3 The figure is a schematic diagram of an intelligent audio quality control device provided in an embodiment of this application. The device includes: The acquisition module 301 is used to acquire the audio parameters of each speaker unit to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band. The identification module 302 is used to identify, based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range, and the sound pressure deviation corresponding to the abnormal units. The update module 303 is used to modify the driving voltage signal of the abnormal unit based on the sound pressure deviation and the sound pressure amplitude and phase delay extracted from the normal unit among multiple audio units, and update the overall sound field sound pressure distribution. The determination module 304 is used to determine the stable sound pressure parameter combination of each speaker unit based on the updated sound field sound pressure distribution and the target sound pressure distribution template.

[0087] Therefore, to address the issue of uneven sound field caused by abnormal units when multiple speaker units work together, this solution collects the audio parameters of each unit in real time, generates a sound pressure intensity distribution table, and compares it with a preset standard sound pressure distribution table. This accurately identifies abnormal units and obtains the intensity deviation calculation value corresponding to the abnormal units. The driving voltage signal of the abnormal units is dynamically modified, the overall sound field sound pressure distribution is updated, and a target stable sound pressure parameter combination with good compensation effect is determined. Finally, the audio amplification module can be adjusted in real time through the target stable sound pressure parameter combination to output a coherent sound quality playback signal and improve the sound performance of the multi-speaker unit audio system.

[0088] Optionally, the acquisition module 301 is specifically used for: acquiring the audio voltage signal amplitude, sound pressure level value, and ambient temperature and humidity parameters of each speaker unit to obtain the audio parameters of each speaker unit; calculating the signal of each frequency band based on the audio parameters to determine the sound pressure intensity value of the frequency band; adjusting the sound pressure intensity value of the frequency band based on the ambient temperature and humidity parameters and a preset compensation formula to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band; the compensation formula is used to determine the compensation parameters based on the product of the preset temperature and humidity correction coefficient and the sound pressure intensity value of the frequency band.

[0089] Optionally, the identification module 302 is specifically used to: obtain the reference intensity of each frequency band according to the preset standard sound pressure distribution table; calculate the intensity deviation value based on the sound pressure intensity distribution table and the reference intensity; and identify abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range based on the intensity deviation value and the preset normal sound pressure deviation range.

[0090] Optionally, the update module 303 includes a frequency band determination unit, a multiplier determination unit, and an update unit. The frequency band determination unit is used to analyze the influence range of the abnormal unit on the overall sound field based on the intensity deviation calculation value and determine the frequency band interval. The multiplier determination unit is used to determine the sound pressure adjustment multiplier of the frequency band interval based on the sound pressure amplitude and phase delay extracted from the normal unit among multiple audio units. The update unit is used to modify the driving voltage signal of the abnormal unit according to the sound pressure adjustment multiplier and update the sound pressure distribution of the overall sound field.

[0091] Optionally, the multiplier determination unit is specifically used for: acquiring sound wave signals emitted by the normal unit among multiple audio units; performing Fourier transform on the sound wave signals to obtain frequency domain data including amplitude spectrum and phase spectrum; extracting sound pressure amplitude based on amplitude spectrum and extracting delay difference based on phase spectrum to determine phase delay; and determining the sound pressure adjustment multiplier in the frequency band based on sound pressure amplitude and phase delay.

[0092] Optionally, module 304 is specifically used for: extracting distribution difference features based on the updated sound field sound pressure distribution; performing matching calculations on the distribution difference features and the target sound pressure distribution template to obtain the matching degree; verifying multiple stable sound pressure parameter combinations through compensation effect based on the matching degree to obtain a quantitative index of compensation effect; and determining the target stable sound pressure parameter combination based on the quantitative index of compensation effect.

[0093] Optionally, another intelligent audio quality control device provided in this application embodiment further includes: a generation module, used to extract audio sampling data from the audio playback signal output based on a stable sound pressure parameter combination; analyze the waveform consistency between the audio sampling data and the initial playback signal to obtain a waveform consistency index; calculate the difference between the waveform consistency index and the spectral characteristics of the initial playback signal to determine a consistency deviation sequence; calculate the signal fluctuation amplitude based on the consistency deviation sequence to generate an operation stability report.

[0094] See Figure 4 The figure is a structural diagram of an intelligent audio quality control device provided in an embodiment of this application. The device includes a memory 401 and a processor 402.

[0095] Memory 401: Used to store program code and transfer program code to the processor.

[0096] Processor 402: Used to execute the steps of the above-mentioned intelligent audio quality control method according to the instructions in the program code.

[0097] In addition, this application also provides a computer-readable storage medium storing computer instructions, which, when executed on an intelligent audio quality control device, perform the steps of the aforementioned intelligent audio quality control method.

[0098] It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the device and storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The device and storage medium embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment solution according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0099] The above description is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for intelligent control of audio sound quality, characterized in that, The method includes: The audio parameters of each speaker unit were collected separately to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band. Based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range are identified, as well as the intensity deviation calculation value corresponding to the abnormal unit. Based on the calculated intensity deviation value, and the sound pressure amplitude and phase delay extracted from the normal units among multiple audio units, the driving voltage signal of the abnormal unit is modified to update the overall sound field sound pressure distribution. Based on the updated sound field sound pressure distribution and the target sound pressure distribution template, a target stable sound pressure parameter combination is determined; the target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all audio units.

2. The method according to claim 1, characterized in that, The process of collecting audio parameters from each speaker unit to obtain a sound pressure intensity distribution table for each speaker unit in each frequency band includes: The audio voltage signal amplitude, sound pressure level, and ambient temperature and humidity parameters of each speaker unit were collected to obtain the audio parameters of each speaker unit. Calculate the signal of each frequency band based on the audio parameters, and determine the sound pressure intensity value of each frequency band; Based on the ambient temperature and humidity parameters and the preset compensation formula, the sound pressure intensity value of the frequency band is adjusted to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band; the compensation formula is used to determine the compensation parameters based on the product of the preset temperature and humidity correction coefficient and the sound pressure intensity value of the frequency band.

3. The method according to claim 1, characterized in that, The process of identifying abnormal units among multiple speaker units whose sound pressure deviation exceeds the normal sound pressure deviation range threshold, based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, and calculating the intensity deviation value corresponding to the abnormal units, includes: The reference intensity for each frequency band is obtained according to the preset standard sound pressure distribution table; Based on the sound pressure intensity distribution table and the reference intensity, the intensity deviation is calculated. Based on the calculated intensity deviation value and the preset normal sound pressure deviation range threshold, abnormal units among multiple audio units whose sound pressure deviation exceeds the normal sound pressure deviation range threshold are identified.

4. The method according to claim 1, characterized in that, The step of modifying the driving voltage signal of the abnormal unit and updating the overall sound field sound pressure distribution based on the calculated intensity deviation value and the sound pressure amplitude and phase delay extracted from the normal units among multiple speaker units includes: Based on the calculated intensity deviation value, analyze the influence range of the abnormal unit on the overall sound field and determine the frequency band interval; The sound pressure adjustment factor for the frequency band is determined based on the sound pressure amplitude and phase delay extracted from the normal units among multiple audio units. The driving voltage signal of the abnormal unit is modified according to the sound pressure adjustment factor to update the overall sound pressure distribution of the sound field.

5. The method according to claim 4, characterized in that, The determination of the sound pressure adjustment factor for the frequency band range based on the sound pressure amplitude and phase delay extracted from normal units among multiple audio units includes: Collect sound wave signals emitted by normal units among multiple speaker units; Perform a Fourier transform on the acoustic signal to obtain frequency domain data including amplitude spectrum and phase spectrum; The sound pressure amplitude is extracted based on the amplitude spectrum, and the delay difference is extracted based on the phase spectrum to determine the phase delay; Based on the sound pressure amplitude and the phase delay, the sound pressure adjustment factor for the frequency band is determined.

6. The method according to claim 1, characterized in that, The step of determining the target stable sound pressure parameter combination based on the updated sound field sound pressure distribution and the target sound pressure distribution template includes: Extract distribution difference features based on the updated sound field sound pressure distribution; The matching degree is obtained by matching the distribution difference characteristics and the target sound pressure distribution template. Based on the matching degree, multiple stable sound pressure parameter combinations are verified through compensation effect to obtain quantitative indicators of compensation effect; The target stable sound pressure parameter combination is determined based on the quantitative index of the compensation effect.

7. The method according to claim 1, characterized in that, After determining the stable sound pressure parameter combination for each speaker unit based on the updated sound field sound pressure distribution and the target sound pressure distribution template, the method further includes: Audio sampling data is extracted from the sound quality playback signal output based on the stable sound pressure parameter combination; The waveform consistency between the audio sampling data and the initial playback signal is analyzed to obtain a waveform consistency index; The difference between the waveform consistency index and the spectral characteristics of the initial playback signal is calculated to determine the consistency deviation sequence; The signal fluctuation amplitude is calculated based on the consistency deviation sequence, and an operational stability report is generated.

8. A smart sound quality control device, characterized in that, The device includes: The acquisition module is used to acquire the audio parameters of each speaker unit to obtain the sound pressure intensity distribution table of each speaker unit in each frequency band. The identification module is used to identify, based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, abnormal units among multiple audio units whose sound pressure deviation exceeds the threshold of the normal sound pressure deviation range, and the sound pressure deviation corresponding to the abnormal units. An update module is used to modify the driving voltage signal of the abnormal unit based on the sound pressure deviation and the sound pressure amplitude and phase delay extracted from the normal unit among multiple audio units, thereby updating the overall sound field sound pressure distribution. The determination module is used to determine the stable sound pressure parameter combination of each speaker unit based on the updated sound field sound pressure distribution and the target sound pressure distribution template.

9. A smart audio quality control device, characterized in that, The device includes: a memory and a processor; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the steps of the audio quality intelligent control method according to any one of claims 1-7 according to the program code.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is run on the audio quality intelligent control device, the audio quality intelligent control device performs the steps of the audio quality intelligent control method as described in any one of claims 1-7.

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