An acoustic sound quality intelligent regulation method and related device

Abstract

The application discloses a sound quality intelligent regulation method and related device, which can be used in the field of sound quality regulation. In the method, audio parameters of each sound unit are collected to obtain sound pressure intensity distribution tables of each sound unit in each frequency band. Based on the sound pressure intensity distribution tables and a preset standard sound pressure distribution table, abnormal units with sound pressure deviation exceeding a normal sound pressure deviation range and intensity deviation calculation values corresponding to the abnormal units are identified from the multiple sound units. Based on the intensity deviation calculation values and the sound pressure amplitude and phase delay extracted from normal units in the multiple sound units, the driving voltage signal of the abnormal units is modified, and the overall sound field sound pressure distribution is updated. According to the updated sound field sound pressure distribution and a target sound pressure distribution template, a target stable sound pressure parameter combination is determined. Thus, the audio amplification module is adjusted in real time through the target stable sound pressure parameter combination, a coherent sound quality playback signal is output, and the sound effect performance of the multi-sound unit sound system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sound quality regulation, in particular to a sound quality intelligent regulation method and related device. BACKGROUND

[0002] With the rapid development of intelligent sound technology, multi-sound equipment cooperative work has become the mainstream scheme for building high-quality sound listening environment, and is widely used in home theaters, concert halls and professional recording studios and other scenes.

[0003] At present, the multi-sound cooperative system mainly relies on static calibration and preset parameters to realize the spatial consistency and sound quality continuity of the sound field, and provides users with an immersive auditory experience. However, in a dynamic running environment, when the system is running for a long time, the performance of each sound unit will fluctuate due to factors such as component aging, environmental temperature and humidity changes, etc., causing the original accurate phase relationship and frequency response consistency to gradually deviate from the design standard. When a device in the sound array causes the frequency response to deviate due to aging, it will directly destroy the coherent superposition effect of the entire sound field, causing abnormal energy distribution in a specific frequency band. In addition, there is a complex mutual influence relationship between the performance fluctuation of a single sound unit and the stability of the overall sound field. The dynamic nature and concealment of performance fluctuations make it difficult for the system to identify abnormal devices in a timely manner, and local abnormalities that are not detected will gradually spread, eventually causing the frequency response smoothness of the entire sound field system to be damaged, forming a vicious cycle.

[0004] Therefore, how to improve the sound performance of the multi-sound unit sound system has become a key problem for improving the overall performance of the intelligent sound system. SUMMARY

[0005] Based on the above problems, the present application provides a sound quality intelligent regulation method and related device, which can improve the sound performance of the multi-sound unit sound system.

[0006] The embodiments of the present application disclose the following technical solutions:

[0007] In a first aspect, the embodiments of the present application provide a sound quality intelligent regulation method, which comprises:

[0008] Respectively collecting the audio parameters of each sound unit to obtain the sound pressure intensity distribution table of each sound unit in each frequency band;

[0009] Based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, identifying an abnormal unit in the multiple sound units whose sound pressure deviation exceeds the normal sound pressure deviation range and the intensity deviation calculation value corresponding to the abnormal unit;

[0010] modifying a driving voltage signal of the abnormal unit based on the intensity deviation calculation value and a sound pressure amplitude and a phase delay extracted from a normal unit in the plurality of sound units, updating an overall sound field sound pressure distribution;

[0011] determining a target stable sound pressure parameter combination according to the updated sound field sound pressure distribution and a target sound pressure distribution template; the target stable sound pressure parameter combination is used to update stable sound pressure parameters of all sound units.

[0012] Optionally, the audio parameters of each sound unit are collected respectively to obtain a sound pressure intensity distribution table of each sound unit in each frequency band, including:

[0013] The audio voltage signal amplitude, sound pressure level value, and environmental temperature and humidity parameters of each sound unit are collected respectively to obtain the audio parameters of each sound unit;

[0014] The frequency band sound pressure intensity value is determined based on the audio parameter calculation of each frequency band signal;

[0015] The frequency band sound pressure intensity value is adjusted based on the environmental temperature and humidity parameters and a preset compensation formula to obtain a sound pressure intensity distribution table of each sound unit in each frequency band; the compensation formula is used to determine a compensation parameter based on a product of a preset temperature and humidity correction coefficient and the frequency band sound pressure intensity value.

[0016] Optionally, the abnormal unit and the intensity deviation calculation value of the abnormal unit corresponding to the abnormal unit whose sound pressure deviation exceeds a normal sound pressure deviation range in the plurality of sound units are identified based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, including:

[0017] The reference intensity of each frequency band is obtained according to a preset standard sound pressure distribution table;

[0018] The intensity deviation calculation value is calculated based on the sound pressure intensity distribution table and the reference intensity;

[0019] The abnormal unit whose sound pressure deviation exceeds the normal sound pressure deviation range in the plurality of sound units is identified based on the intensity deviation calculation value and a preset normal sound pressure deviation range.

[0020] Optionally, the overall sound field sound pressure distribution is updated by modifying the driving voltage signal of the abnormal unit based on the intensity deviation calculation value and a sound pressure amplitude and a phase delay extracted from a normal unit in the plurality of sound units, including:

[0021] The influence area range of the abnormal unit on the overall sound field is analyzed based on the intensity deviation calculation value to determine a frequency band interval;

[0022] determine the sound pressure adjustment multiple of the frequency band interval based on the sound pressure amplitude and the phase delay extracted from the normal units in the plurality of sound units;

[0023] modify the driving voltage signal of the abnormal unit according to the sound pressure adjustment multiple, and update the overall sound field sound pressure distribution.

[0024] Optionally, the method further comprises:

[0025] collect sound wave signals emitted by normal units in the plurality of sound units;

[0026] perform Fourier transform on the sound wave signals to obtain frequency domain data including amplitude spectrum and phase spectrum;

[0027] extract the sound pressure amplitude based on the amplitude spectrum, and extract the delay difference value based on the phase spectrum to determine the phase delay;

[0028] determine the sound pressure adjustment multiple of the frequency band interval based on the sound pressure amplitude and the phase delay.

[0029] Optionally, the method further comprises:

[0030] extract distribution difference features from the updated sound field sound pressure distribution;

[0031] perform matching calculation on the distribution difference features and the target sound pressure distribution template to obtain a matching degree;

[0032] based on the matching degree, verify a plurality of stable sound pressure parameter combinations through compensation effect to obtain a compensation effect quantitative index;

[0033] determine the target stable sound pressure parameter combination based on the compensation effect quantitative index.

[0034] Optionally, after determining the stable sound pressure parameter combination of each sound unit according to the updated sound field sound pressure distribution and the target sound pressure distribution template, the method further comprises:

[0035] extract audio sampling data from the sound quality playback signal output based on the stable sound pressure parameter combination;

[0036] analyze the waveform consistency of the audio sampling data and the initial playback signal to obtain a waveform consistency index;

[0037] perform difference calculation on the waveform consistency index and the frequency spectrum features of the initial playback signal to determine a consistency deviation sequence;

[0038] According to the consistency deviation sequence, a signal fluctuation amplitude is calculated, and a running stability report is generated.

[0039] In a second aspect, the embodiments of the present application provide an audio sound quality intelligent regulation device, which comprises:

[0040] A collection module is configured to collect audio parameters of each audio unit respectively to obtain a sound pressure intensity distribution table of each audio unit in each frequency band.

[0041] An identification module is configured to identify, based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, an abnormal unit whose sound pressure deviation exceeds a normal sound pressure deviation range and a sound pressure deviation corresponding to the abnormal unit.

[0042] An updating module is configured to modify a driving voltage signal of the abnormal unit based on the sound pressure deviation and a sound pressure amplitude and a phase delay extracted from normal units in the plurality of audio units, and update an overall sound field sound pressure distribution.

[0043] A determination module is configured to determine a stable sound pressure parameter combination of each audio unit according to the updated sound field sound pressure distribution and a target sound pressure distribution template.

[0044] In a third aspect, the embodiments of the present application provide an audio sound quality intelligent regulation device, which comprises a memory and a processor.

[0045] The memory is configured to store program code and transmit the program code to the processor.

[0046] The processor is configured to execute steps of the audio sound quality intelligent regulation method according to any one of the embodiments of the first aspect.

[0047] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program, and when the computer program runs on the audio sound quality intelligent regulation device, the audio sound quality intelligent regulation device executes steps of the audio sound quality intelligent regulation method according to any one of the embodiments of the first aspect.

[0048] Compared with the prior art, the present application has the following beneficial effects:

[0049] The embodiment of the application provides an audio quality intelligent regulation method, in which, first, audio parameters of each audio unit are collected to obtain sound pressure intensity distribution tables of each audio unit in each frequency band; then, based on the sound pressure intensity distribution tables and a preset standard sound pressure distribution table, an abnormal unit with a sound pressure deviation exceeding a normal sound pressure deviation range and an intensity deviation calculation value corresponding to the abnormal unit are identified in the multiple audio units; then, based on the intensity deviation calculation value and a sound pressure amplitude and a phase delay extracted from normal units in the multiple audio units, a driving voltage signal of the abnormal unit is modified, and an overall sound field sound pressure distribution is updated; finally, a target stable sound pressure parameter combination is determined according to the updated sound field sound pressure distribution and a target sound pressure distribution template; the target stable sound pressure parameter combination is used to update stable sound pressure parameters of all audio units.

[0050] Therefore, for the problem of uneven sound field caused by abnormal units when multiple audio units work cooperatively, the audio parameters of each unit are collected in real time, the sound pressure intensity distribution table is generated and compared with the preset standard sound pressure distribution table, the abnormal unit is accurately identified and the intensity deviation calculation value corresponding to the abnormal unit is obtained, the driving voltage signal of the abnormal unit is dynamically modified, the overall sound field sound pressure distribution is updated, and the target stable sound pressure parameter combination with good compensation effect is determined, so that the audio amplification module can be adjusted in real time through the target stable sound pressure parameter combination, the coherent audio quality playback signal is output, and the sound effect performance of the multi-audio unit sound system is improved. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0052] Figure 1 A flow chart of an audio quality intelligent regulation method provided by the embodiment of the application;

[0053] Figure 2 A flow chart of a running stability report generation method provided by the embodiment of the application;

[0054] Figure 3 A schematic diagram of an audio quality intelligent regulation device provided by the embodiment of the application;

[0055] Figure 4 A structural diagram of an audio quality intelligent regulation device provided by the embodiment of the application. DETAILED DESCRIPTION

[0056] The sound quality intelligent regulation method and the related device provided by the application can be applied to the field of sound quality regulation.

[0057] The terms "first", "second", "third", and "fourth" in the description and claims of the application and the description of the drawings are used to distinguish different objects, and are not used to limit a specific order.

[0058] In the embodiments of the application, the words such as "as an example" or "for example" are used to represent an example, illustration or description. Any embodiment or design scheme described as "as an example" or "for example" in the embodiments of the application should not be interpreted as more preferred or more advantageous than other embodiments or design schemes. In fact, the words such as "as an example" or "for example" are intended to present the relevant concept in a specific manner.

[0059] The terms used in the embodiment part of the application are only used to explain the specific embodiments of the application, and are not intended to limit the application.

[0060] In order to enable persons skilled in the art to better understand the schemes of the application, the technical schemes in the embodiments of the application will be clearly and completely described below in combination with the drawings in the embodiments of the application. Obviously, the described embodiments are only some of the embodiments of the application, not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by persons skilled in the art without creative labor are within the scope of protection of the application.

[0061] Referring to Figure 1 The figure is a sound quality intelligent regulation method flow chart provided by the embodiments of the application, and the method comprises:

[0062] S101: Collecting audio parameters of each sound unit respectively to obtain sound pressure intensity distribution tables of each sound unit in each frequency band.

[0063] As an example, the audio voltage signal amplitude, sound pressure level value, and environmental temperature and humidity parameters of each sound unit can be collected respectively to obtain the audio parameters of each sound unit.

[0064] For example, the voltage signal can be detected at a sampling rate of thousands of times per second by the built-in sensor installed in each sound unit in the sound system to capture transient changes and collect the audio voltage signal amplitude, sound pressure level value, and environmental temperature and humidity parameters of each sound unit in real time.

[0065] wherein the sound pressure level refers to the logarithmic ratio of sound pressure to a reference pressure, usually expressed in decibels. During the collection process, the built-in sensor can convert the sound pressure into an electrical signal and calculate its effective value to obtain the sound pressure level value reflecting the actual output level of the sound.

[0066] During the operation of the sound system, temperature changes may affect the expansion of the materials of the sound unit, thereby indirectly affecting the audio output; humidity may cause changes in circuit impedance. The built-in sensor collects environmental temperature and humidity parameters at fixed intervals and stores them as a time series, facilitating the correlation analysis of environmental temperature and humidity and audio data.

[0067] The built-in sensor for collecting audio voltage signal amplitude and sound pressure level value can be a piezoelectric or capacitive microphone that can capture voltage fluctuations of the sound unit during playback; the built-in sensor for collecting environmental temperature and humidity parameters can be an integrated temperature and humidity sensor that uses a digital sensor chip to monitor the surrounding temperature and relative humidity in real time.

[0068] Then, based on the audio parameters, the signal of each frequency band is calculated to determine the frequency band sound pressure intensity value.

[0069] Specifically, Fourier transform can be performed to convert the audio voltage signal amplitude from the time domain to the frequency domain spectrum; then, according to the pre-set frequency band division, such as dividing the audio range of 20Hz to 20kHz into low frequency, medium frequency and high frequency, the average sound pressure intensity of each frequency band is calculated to determine the frequency band sound pressure intensity value.

[0070] Finally, based on the environmental temperature and humidity parameters and the pre-set compensation formula, the frequency band sound pressure intensity value is adjusted to obtain the sound pressure intensity distribution table of each sound unit in each frequency band.

[0071] The environmental temperature and humidity parameters are used to correct the sound pressure intensity calculation. Through the compensation formula, the product of the pre-set temperature and humidity correction coefficient and the frequency band sound pressure intensity value is used to determine the compensation parameter to compensate for thermal expansion effects and improve the accuracy of the sound pressure intensity distribution table.

[0072] The sound pressure intensity distribution table is presented in table form, with each row corresponding to a frequency band, listing the average, peak and corrected values of the sound pressure level of that frequency band after adjustment by the environmental temperature and humidity parameters. This distribution table can intuitively display the performance distribution of the sound unit in different frequency bands.

[0073] This collection and distribution table generation process improves the diagnostic efficiency of the sound system. For example, when detecting abnormal intensity in the low frequency band, it can prompt the maintenance requirement in a timely manner, thereby prolonging the service life of the equipment.

[0074] S102: Based on the sound pressure intensity distribution table and the preset standard sound pressure distribution table, identify the abnormal units in the multiple sound units whose sound pressure deviation exceeds the normal sound pressure deviation range and the intensity deviation calculation value corresponding to the abnormal units.

[0075] As an example, the reference intensity of each frequency band can be obtained according to the preset standard sound pressure distribution table first.

[0076] The preset standard sound pressure distribution table can be generated by historical test data or manufacturer specifications, and is an ideal distribution defined in advance based on the design specifications of the sound system. For example, under standard conditions, the standard sound pressure level average (reference intensity) of the low frequency band is set to 80 decibels, the standard sound pressure level average of the medium frequency band is set to 85 decibels, and the standard sound pressure level average of the high frequency band is set to 90 decibels.

[0077] The preset standard sound pressure distribution table can be updated by adjusting the standard sound pressure level average based on the historical sound pressure intensity distribution table after a fixed period, such as one month, so as to improve the timeliness of the comparison between the sound pressure intensity distribution table and the preset standard sound pressure distribution table.

[0078] Then, based on the sound pressure intensity distribution table and the reference intensity, the intensity deviation calculation value is calculated.

[0079] As an example, the sound pressure intensity distribution table and the reference intensity can be aligned frequency by frequency, and the absolute difference and / or relative percentage of the actual sound pressure level average and the reference intensity are calculated by the deviation calculation method to quantify the difference, thereby obtaining the intensity deviation calculation value.

[0080] For example, for a frequency band, if the actual sound pressure level average is 82 decibels and the standard sound pressure level average is 80 decibels, the absolute difference is 2 decibels, and the relative deviation is the percentage of the actual sound pressure level average minus the standard sound pressure level average divided by the standard sound pressure level average, that is, 2.5%, thereby obtaining the intensity deviation calculation value of 2 decibels and / or 2.5%. The actual sound pressure level average can be calculated based on the corrected value adjusted by the environmental temperature and humidity parameters in the sound pressure intensity distribution table.

[0081] As an example, a weighting mechanism can also be introduced, for example, the absolute difference and / or relative percentage corresponding to the high frequency band which has greater influence on sound quality is given higher weight to obtain the intensity deviation calculation value.

[0082] The above intensity deviation calculation value can be calculated by a preset sound field model. The preset sound field model can be constructed based on the standard sound pressure distribution data, the input of the model is the position of the abnormal unit and the reference intensity, and the output is the intensity deviation calculation value.

[0083] Finally, based on the intensity deviation calculation value and the preset normal sound pressure deviation range, the abnormal units in the multiple sound units whose sound pressure deviation exceeds the normal sound pressure deviation range are identified.

[0084] As an example, the preset normal sound pressure deviation range can be set based on the tolerance standard of the sound industry, and exceeding this range is considered abnormal, for example, the preset normal sound pressure deviation range threshold can be ±5 decibels or ±10%, etc. Traverse the intensity deviation calculation value of each sound unit, if the intensity deviation calculation value corresponding to any frequency band exceeds the preset normal sound pressure deviation range, mark the sound unit as an abnormal unit.

[0085] For example, in a multi-sound unit sound system, the intensity deviation calculation value of the high frequency of the left sound unit is 7 decibels, which exceeds the normal sound pressure deviation range of ±5 decibels, so the sound unit can be identified as an abnormal unit.

[0086] In some embodiments, after identifying the abnormal unit, the environmental temperature and humidity parameters can also be associated to perform abnormal root cause analysis. For example, if the intensity deviation is related to high temperature, the central processor of the system can infer that the intensity deviation is affected by thermal expansion factors, and then can issue a cooling instruction to the abnormal unit.

[0087] S103: Based on the intensity deviation calculation value, and the sound pressure amplitude and phase delay extracted from the normal units in the plurality of sound units, modify the driving voltage signal of the abnormal unit, and update the overall sound field sound pressure distribution.

[0088] As an example, the influence area range of the abnormal unit on the overall sound field can be analyzed based on the intensity deviation calculation value first, and the frequency band interval is determined.

[0089] For example, the abnormal unit is located on the left side of the sound unit array, and the intensity deviation calculation value of its high frequency causes sound pressure attenuation, then the sound system can divide the overall sound field into grid points by calculating the principle of sound wave superposition, simulate the sound pressure sum under normal and abnormal conditions for each grid point, and compare the sound pressure sum difference of each grid point to determine the influence area range of the sound pressure attenuation on the overall sound field.

[0090] In addition, the position and directivity of the abnormal unit can also be combined to analyze the influence area range of the abnormal unit on the overall sound field. For example, in a surround sound system, the abnormal unit placed at the back has a greater influence on the rear listener area, and the influence area range in the rear listener area can be estimated separately by the distance attenuation formula, so as to obtain a more comprehensive influence area range in the covered space dimension.

[0091] The determination of the frequency band interval depends on the analysis result of the influence area range. Specifically, the sound system can aggregate the frequency band sound pressure deviation distribution within the influence area range, and identify the frequency band interval with the most significant sound pressure deviation. For example, the sound system can sort the frequency bands by statistical methods, such as calculating the mean of the sound pressure deviation, and if the analysis shows that the mid-frequency band has the maximum sound pressure deviation within the influence area range, the frequency band interval can be determined as 500 Hz to 2000 Hz corresponding to the mid-frequency band.

[0092] Then, based on the sound pressure amplitude and phase delay extracted from the normal units in the plurality of sound units, the sound pressure adjustment multiple of the frequency band interval is determined.

[0093] Specifically, the sound wave signals emitted by the normal units in the plurality of sound 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 value is extracted based on the phase spectrum to determine the phase delay; and based on the sound pressure amplitude and the phase delay, the sound pressure adjustment multiple of the frequency band interval is determined.

[0094] For example, the sound wave signals emitted by the normal units can be collected by a microphone array; then, Fourier transform is applied to convert the time domain signal to the frequency domain signal, thereby obtaining the amplitude spectrum and the phase spectrum. The peak value in the amplitude spectrum is the sound pressure amplitude, which represents 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 the plurality of normal units. The phase delay is calculated based on the phase spectrum, for example, by performing cross-correlation operation on the reference signal of the normal unit and the signal of the frequency band interval to find the time offset corresponding to the peak value, 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.

[0095] The sound pressure adjustment multiple of the frequency band interval is calculated based on the extracted sound pressure amplitude and phase delay. For example, assuming that the sound pressure amplitude of the normal unit is P0 and the phase delay is θ0; for the frequency band interval to be compensated, the current sound pressure amplitude P1 and the phase delay θ1 are measured. The sound pressure adjustment multiple K can be estimated by the formula K = P0 / P1*cos(θ0-θ1), where the cos function takes into account the influence of the phase difference on the pressure. This calculation method takes into account the combined effect of amplitude and phase, and can make the sound field after compensation tend to be uniform.

[0096] Finally, the driving voltage signal of the abnormal unit is modified according to the sound pressure adjustment multiple, and the overall sound field sound pressure distribution is updated.

[0097] Among them, the sound pressure adjustment multiple is used as a compensation factor to amplify or reduce the input signal to restore the balanced output. For example, if the original signal amplitude is V, the corrected value is V multiplied by the sound pressure adjustment multiple to ensure that the output sound pressure of the abnormal unit is close to the normal level.

[0098] Specifically, the driving voltage signal of the abnormal unit can be obtained first, and the abnormal feature 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 feature, the adjustment parameter is calculated by using the weighted average compensation algorithm to obtain the modified driving voltage signal. The audio waveform is synthesized by using the modified driving voltage signal, and the time domain filtering processing is performed on the audio waveform to generate a new audio output waveform. Finally, the sound field parameter is extracted from the new audio output waveform, and the spatial coordinate weight is updated based on the sound field parameter to update the overall sound field sound pressure distribution.

[0099] S104: determining a target stable sound pressure parameter combination according to the updated sound field sound pressure distribution and a target sound pressure distribution template.

[0100] The target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all sound units.

[0101] Specifically, the distribution difference feature can be extracted according to the updated sound field sound pressure distribution first. Then, the matching degree is obtained by matching calculation of the distribution difference feature and the target sound pressure distribution template.

[0102] As an example, the matching degree can be obtained by calculating the sum of the square of the pixel sound pressure value difference between the distribution difference feature and the target sound pressure distribution template divided by the total number of pixels, to quantify the accuracy of the compensation effect. The target sound pressure distribution template can be constructed based on an ideal sound field model and contains uniformly distributed sound pressure reference values.

[0103] As an example, for conference room sound field compensation, the target sound pressure distribution template can be generated according to the room size and the speaker position, and contains the sound pressure curve from low frequency to high frequency. The updated sound field sound pressure distribution data is derived from real-time measurement, such as the sound pressure field map captured by using a microphone array. By pixel-level comparison or regional average value matching, it is verified whether the updated sound field sound pressure distribution meets the requirements of the target sound pressure distribution template. This comparison not only can evaluate the overall uniformity, but also can check the local peak deviation, to ensure that the compensated sound field has no obvious unevenness.

[0104] Then, based on the matching degree, the stable sound pressure parameter combination is verified by the compensation effect to obtain the compensation effect quantization index.

[0105] Specifically, if the matching degree is higher than the preset threshold, it can be considered that the compensation of the stable sound pressure parameter combination is effective, and the compensation effect verification can obtain a compensation effect quantitative index. 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 is calculated, and the total error score is obtained by aggregation, so as to obtain the compensation effect quantitative index.

[0106] The stable sound pressure parameter combination can include a sound pressure gain and a phase offset. For example, the sound pressure gain is a sound pressure adjustment multiple of 1.2 times, and the phase offset is 0.5 milliseconds. The stable sound pressure parameter combination can be one group or multiple groups. For example, based on the initial stable sound pressure parameter combination, the parameters can be fine-tuned and the distribution can be updated to generate multiple stable sound pressure parameter combinations, so as to obtain a more optimal stable sound pressure parameter combination.

[0107] Finally, the target stable sound pressure parameter combination is determined based on the compensation effect quantitative index.

[0108] Specifically, the stable sound pressure parameter combination that is indicated by the compensation effect quantitative index to be effective and within the preset stable range can be determined as the target stable sound pressure parameter combination.

[0109] The embodiments of the present application provide an audio sound quality intelligent regulation method. In the method, first, audio parameters of each audio unit are collected to obtain sound pressure intensity distribution tables of each audio unit in each frequency band. Then, based on the sound pressure intensity distribution tables and a preset standard sound pressure distribution table, an abnormal unit whose sound pressure deviation exceeds a normal sound pressure deviation range and an intensity deviation calculation value corresponding to the abnormal unit are identified from multiple audio units. Then, based on the intensity deviation calculation value and a sound pressure amplitude and a phase delay extracted from normal units in the multiple audio units, a driving voltage signal of the abnormal unit is modified, and an overall sound field sound pressure distribution is updated. Finally, a target stable sound pressure parameter combination is determined according to the updated sound field sound pressure distribution and a target sound pressure distribution template. The target stable sound pressure parameter combination is used to update stable sound pressure parameters of all audio units.

[0110] Therefore, for the problem of uneven sound field caused by abnormal units when multiple audio units work cooperatively, the audio parameters of each unit are collected in real time to generate sound pressure intensity distribution tables and compare them with the preset standard sound pressure distribution table, so as to accurately identify abnormal units and obtain intensity deviation calculation values corresponding to the abnormal units. The driving voltage signal of the abnormal unit 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 target stable sound pressure parameter combination can be used to adjust the audio amplification module in real time, output a coherent sound quality playback signal, and improve the sound effect performance of the multi-audio unit sound system.

[0111] The target stable sound pressure parameter combination is used to adjust the audio amplification module in real time, and output a continuous audio quality playback signal. For example, in an audio unit, if the stable sound pressure parameter combination indicates that the bass pressure level is insufficient, the audio system will increase the amplification multiple of the audio unit and synchronously adjust the adjacent audio units to avoid distortion. This real-time update can be implemented based on a clock synchronization mechanism, so that all audio units complete the adjustment within milliseconds, ensuring the continuity of the audio output.

[0112] In an embodiment, the output continuous audio quality playback signal is achieved by integrating the output signals of the updated audio amplification modules. The audio system can synthesize the output signals of the audio amplification modules of each audio unit into a whole waveform, and use a smoothing algorithm such as linear interpolation to eliminate the joints. For example, if there is a phase difference between the output signals of the audio amplification modules of two audio units, the phase intermediate value can be calculated for transition, so that the final output audio quality is smooth and uninterrupted.

[0113] In another embodiment provided by the embodiments of the present application, in addition to determining the target stable sound pressure parameter combination, a running stability report can also be generated to quantify the reliability of the long-term operation of the audio system.

[0114] Specifically, referring to Figure 2 FIG. 1 is a flow chart of a running stability report generation method provided by the embodiments of the present application. The method comprises the following steps:

[0115] S201: Extract audio sampling data from the audio quality playback signal output based on the stable sound pressure parameter combination.

[0116] As an example, the audio quality playback signal can be converted into a digital form by a digital signal processor, and a preset sampling rate is used for discretization processing, thereby obtaining a series of time series data points representing the amplitude change of the signal on the time axis, thereby extracting the audio sampling data. The audio sampling data extracted in this way can accurately reflect the dynamic characteristics of the output audio quality playback signal, providing a basis for subsequent analysis.

[0117] S202: Analyze the waveform consistency of the audio sampling data and the initial playback signal to obtain a waveform consistency index.

[0118] As an example, the correlation coefficient calculation method can be used to quantify the consistency. Specifically, the audio sampling data and the initial playback signal can be aligned in the same time window, and then the Pearson correlation coefficient is calculated as the waveform consistency index. If the correlation coefficient is close to 1, it indicates that the waveforms are highly consistent, otherwise it indicates that there is distortion or deviation. For example, in the case where the correlation coefficient is greater than 0.95, the waveforms are considered to be consistent.

[0119] S203: difference calculation is performed on the waveform consistency index and the spectral characteristics of the initial playing signal to determine a consistency deviation sequence.

[0120] If the difference obtained by the difference calculation exceeds a preset difference threshold, the audio sampling data and the stable parameters can be weighted and averaged in a compensation fusion manner to obtain a new waveform consistency index. The difference of multiple groups of waveform consistency indexes and the spectral characteristics of the initial playing signal is calculated to obtain a consistency deviation sequence.

[0121] S204: calculating the signal fluctuation amplitude according to the consistency deviation sequence to generate a running stability report.

[0122] Specifically, the extraction and analysis process can be repeated in continuous multiple playing tests, the signal fluctuation amplitude is calculated according to the consistency deviation sequence to generate a running stability report, the fluctuation of the waveform consistency index is obtained, potential faults are found as soon as possible, and the reliability of the sound quality playing signal is improved. The running stability report can be output by log recording.

[0123] In addition, the running stability report can further integrate multiple dimensions, such as combining the waveform consistency index and 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 playing signal. If the signal energy ratio is stable in the range of 0.9 to 1.1, it can be considered that the sound system is stable. Thus, the reliability of the sound system in long-term operation can be quantified.

[0124] Referring to Figure 3 The figure is a schematic diagram of an audio sound quality intelligent regulation and control device provided by an embodiment of the present application. The device comprises:

[0125] The acquisition module 301 is configured to acquire audio parameters of each audio unit respectively to obtain a sound pressure intensity distribution table of each audio unit in each frequency band.

[0126] The identification module 302 is configured to identify, based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, an abnormal unit whose sound pressure deviation exceeds a normal sound pressure deviation range and a sound pressure deviation corresponding to the abnormal unit in the multiple audio units.

[0127] The update module 303 is configured to modify a driving voltage signal of the abnormal unit based on the sound pressure deviation and a sound pressure amplitude and a phase delay extracted from normal units in the multiple audio units, and update an overall sound field sound pressure distribution.

[0128] The determination module 304 is configured to determine a stable sound pressure parameter combination of each audio unit according to the updated sound field sound pressure distribution and a target sound pressure distribution template.

[0129] Therefore, for the service scene problem of uneven sound field caused by abnormal units when multiple sound units work together, by collecting audio parameters of each unit in real time, generating sound pressure intensity distribution table and comparing with the preset standard sound pressure distribution table, the abnormal unit is accurately identified and the intensity deviation calculation value corresponding to the abnormal unit is obtained, the driving voltage signal of the abnormal unit is dynamically modified, the overall sound field sound pressure distribution is updated, and the target stable sound pressure parameter combination with good compensation effect is determined, finally the target stable sound pressure parameter combination can be used to adjust the audio amplification module in real time, and output a coherent sound quality playing signal, and the sound effect performance of the sound system of the multiple sound units is improved.

[0130] Optionally, the collection module 301 is specifically configured to: collect audio voltage signal amplitudes, sound pressure level values, and environmental temperature and humidity parameters of each sound unit respectively to obtain audio parameters of each sound unit; calculate each frequency band signal based on the audio parameters to determine frequency band sound pressure intensity values; adjust the frequency band sound pressure intensity values based on the environmental temperature and humidity parameters and a preset compensation formula to obtain a sound pressure intensity distribution table of each sound unit in each frequency band; and the compensation formula is used to determine compensation parameters based on the product of a preset temperature and humidity correction coefficient and the frequency band sound pressure intensity values.

[0131] Optionally, the identification module 302 is specifically configured to: obtain reference intensities of each frequency band according to a preset standard sound pressure distribution table; calculate intensity deviation calculation values based on the sound pressure intensity distribution table and the reference intensities; and identify abnormal units in the multiple sound units whose sound pressure deviations exceed a normal sound pressure deviation range based on the intensity deviation calculation values and the preset normal sound pressure deviation range.

[0132] Optionally, the update module 303 includes a frequency band determination unit, a multiple determination unit, and an update unit, wherein the frequency band determination unit is configured to determine a frequency band interval based on the influence area range of the abnormal unit on the overall sound field analyzed based on the intensity deviation calculation values; the multiple determination unit is configured to determine a sound pressure adjustment multiple of the frequency band interval based on sound pressure amplitudes and phase delays extracted from normal units in the multiple sound units; and the update unit is configured to modify the driving voltage signal of the abnormal unit according to the sound pressure adjustment multiple and update the overall sound field sound pressure distribution.

[0133] Optionally, the multiple determination unit is specifically configured to: collect sound wave signals emitted by normal units in the multiple sound units; perform Fourier transform on the sound wave signals to obtain frequency domain data including amplitude spectrum and phase spectrum; extract sound pressure amplitudes based on the amplitude spectrum and extract delay difference values based on the phase spectrum to determine phase delays; and determine the sound pressure adjustment multiple of the frequency band interval based on the sound pressure amplitudes and the phase delays.

[0134] Optionally, the determining module 304 is specifically configured to: extract a distribution difference feature according to the updated sound field sound pressure distribution; perform matching calculation on the distribution difference feature and the target sound pressure distribution template to obtain a matching degree; verify the multiple sets of stable sound pressure parameter combinations based on the matching degree through the compensation effect to obtain a compensation effect quantitative index; and determine the target stable sound pressure parameter combination based on the compensation effect quantitative index.

[0135] Optionally, another sound quality intelligent control device provided by the embodiment of the present application further includes: a generating module configured to extract audio sample data from a sound quality playing signal output based on the stable sound pressure parameter combination; analyze waveform consistency of the audio sample data and the initial playing signal to obtain a waveform consistency index; perform difference calculation on the waveform consistency index and a spectrum feature of the initial playing signal to determine a consistency deviation sequence; calculate a signal fluctuation amplitude according to the consistency deviation sequence to generate a running stability report.

[0136] Referring to Figure 4 The figure is a structure diagram of a sound quality intelligent control device provided by the embodiment of the present application, and the device includes a memory 401 and a processor 402.

[0137] The memory 401 is configured to store program codes and transmit the program codes to the processor.

[0138] The processor 402 is configured to execute the steps of the sound quality intelligent control method according to the instructions in the program codes.

[0139] In addition, the present application further provides a computer readable storage medium, and the computer readable storage medium stores computer instructions, when the computer instructions run on the sound quality intelligent control device, the sound quality intelligent control device executes the steps of the sound quality intelligent control method.

[0140] It should be noted that each of the embodiments in the present specification adopts a progressive description manner, and the same or similar parts among the embodiments can be referred to each other, and each embodiment mainly describes the difference from other embodiments. Especially, the device and storage medium embodiments are described more simply because they are basically similar to the method embodiments, and the relevant parts can be referred to the part of the description of the method embodiments. The device and storage medium embodiments described above are only schematic, and the units described as separate components can be or can not be physically separated, and the components indicated as units can be or can not be physical units, that is, they can be located in one place, or can be distributed on multiple network units. According to the actual needs, part or all of the modules can be selected to achieve the purpose of the embodiment scheme. Those skilled in the art can understand and implement without creative labor.

[0141] The above merely provides one specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any changes or replacements within the technical scope disclosed by the present application, which can be easily thought by any person skilled in the art, should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. An acoustic sound quality intelligent regulation method, characterized in that, The method comprises: Respectively collecting audio parameters of each sound unit to obtain sound pressure intensity distribution tables of each sound unit in each frequency band; Based on the sound pressure intensity distribution table and a preset standard sound pressure distribution table, identifying an abnormal unit in the multiple sound units whose sound pressure deviation exceeds a normal sound pressure deviation range, and an intensity deviation calculation value corresponding to the abnormal unit; Based on the intensity deviation calculation value and the sound pressure amplitude and phase delay extracted from the normal units in the multiple sound units, modifying the driving voltage signal of the abnormal unit, and updating the overall sound field sound pressure distribution; According to the updated sound field sound pressure distribution and a target sound pressure distribution template, determining a target stable sound pressure parameter combination; the target stable sound pressure parameter combination is used to update the stable sound pressure parameters of all sound units.

2. The method of claim 1, wherein, The method comprises: Respectively collecting audio parameters of each sound unit to obtain sound pressure intensity distribution tables of each sound unit in each frequency band; Respectively collecting audio voltage signal amplitudes, sound pressure level values, and environmental temperature and humidity parameters of each sound unit to obtain audio parameters of each sound unit; Based on the audio parameters, calculating frequency band signals to determine frequency band sound pressure intensity values; 3. The method of claim 1, wherein, Based on the environmental temperature and humidity parameters and a preset compensation formula, adjusting the frequency band sound pressure intensity values to obtain the sound pressure intensity distribution tables of each sound unit in each frequency band; the compensation formula is used to determine a compensation parameter based on the product of a preset temperature and humidity correction coefficient and the frequency band sound pressure intensity value. The method comprises: According to a preset standard sound pressure distribution table, obtaining a reference intensity of each frequency band; Based on the sound pressure intensity distribution table and the reference intensity, calculating an intensity deviation calculation value; 4. The method of claim 1, wherein, Based on the intensity deviation calculation value and a preset normal sound pressure deviation range threshold, identifying an abnormal unit in the multiple sound units whose sound pressure deviation exceeds the normal sound pressure deviation range threshold. The method comprises: Based on the intensity deviation calculation value, analyzing the influence area range of the abnormal unit on the overall sound field to determine a frequency band interval; Based on the sound pressure amplitude and phase delay extracted from the normal units in the multiple sound units, determining a sound pressure adjustment multiple of the frequency band interval; 5. The method of claim 4, wherein, According to the sound pressure adjustment multiple, modifying the driving voltage signal of the abnormal unit to update the overall sound field sound pressure distribution. The method comprises: Collecting sound wave signals emitted by normal units in the multiple sound units; Performing Fourier transform on the sound wave signals to obtain frequency domain data including amplitude spectrum and phase spectrum; Based on the amplitude spectrum, extracting a sound pressure amplitude, and based on the phase spectrum, extracting a delay difference value to determine a phase delay; Determine a sound pressure adjustment multiple of the frequency band interval based on the sound pressure amplitude and the phase delay.

6. The method of claim 1, wherein, The method further comprises the following steps: Extracting distribution difference features from the updated sound field sound pressure distribution; Matching the distribution difference features and the target sound pressure distribution template to obtain a matching degree; Verifying multiple sets of stable sound pressure parameter combinations based on the matching degree through compensation effect to obtain a compensation effect quantitative index; Determining the target stable sound pressure parameter combination based on the compensation effect quantitative index.

7. The method of claim 1, wherein, After determining the stable sound pressure parameter combination of each sound unit according to the updated sound field sound pressure distribution and the target sound pressure distribution template, the method further comprises the following steps: Extracting audio sampling data from the audio quality playback signal output based on the stable sound pressure parameter combination; Analyzing the waveform consistency of the audio sampling data and the initial playback signal to obtain a waveform consistency index; Determine a consistency deviation sequence by difference calculation on the waveform consistency index and the spectral features of the initial playback signal; Calculate the signal fluctuation amplitude according to the consistency deviation sequence and generate a running stability report.

8. An acoustic quality intelligent regulation device, characterized in that, The device comprises: A collection module for collecting audio parameters of each sound unit to obtain sound pressure intensity distribution tables of each sound unit in each frequency band; An identification module for identifying abnormal units with sound pressure deviation exceeding the normal sound pressure deviation range threshold and the sound pressure deviation of the abnormal units based on the sound pressure intensity distribution tables and a preset standard sound pressure distribution table; An update module for modifying 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 units in the multiple sound units to update the overall sound field sound pressure distribution; A determination module for determining the stable sound pressure parameter combination of each sound unit according to the updated sound field sound pressure distribution and the target sound pressure distribution template.

9. An acoustic quality intelligent regulation device, characterized in that, The device comprises 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 sound quality intelligent control method according to the program code.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, when the computer program runs on the sound quality intelligent control device, the sound quality intelligent control device executes the steps of the sound quality intelligent control method as claimed in any one of claims 1-7. The computer readable storage medium stores a computer program, when the computer program runs on the sound quality intelligent control device, the sound quality intelligent control device executes the steps of the sound quality intelligent control method as claimed in any one of claims 1-7.

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