Bluetooth earphone intelligent noise reduction judgment system based on sound data recognition

Abstract

The application relates to the field of noise reduction technology of Bluetooth earphones and discloses a Bluetooth earphone intelligent noise reduction judgment system based on sound data recognition, which comprises an environment simulation module, an information collection module, a data recognition module and an analysis processing module.The environment simulation module is used for simulating a noise environment by playing simulation audio; the information collection module is used for collecting sound data in the noise environment and in the Bluetooth earphone; the data recognition module is used for recognizing noise information before and after earphone noise reduction processing and reverse sound wave curves generated in the earphone noise reduction process according to the collected sound data; the analysis processing module is used for comprehensively processing and analyzing the noise information and the reverse sound wave information, and establishing a noise environment adjustment strategy according to the processing and analysis result; and the adjustment module is used for adjusting the simulation audio according to the noise environment adjustment strategy.The application can analyze the noise reduction effect of the Bluetooth earphone in detail, and judge whether the Bluetooth earphone noise reduction function is faulty according to the effect.

Description

Technical Field

[0001] This invention relates to the field of Bluetooth headset noise reduction technology, specifically to a Bluetooth headset intelligent noise reduction judgment system based on sound data recognition. Background Technology

[0002] Bluetooth headsets apply Bluetooth technology to hands-free headsets, allowing users to be free from the shackles of annoying wires and make calls freely in various ways. To expand the application scenarios of Bluetooth headsets, noise-canceling Bluetooth headsets have also been launched on the market. With noise cancellation, we can enjoy clearer and purer music and calls in noisy environments.

[0003] Generally speaking, Bluetooth headphones have two types of noise cancellation: passive noise cancellation and active noise cancellation. The main difference lies in the different noise cancellation methods. Passive noise cancellation headphones work on a simpler principle, mainly by creating a closed space around the ears or using sound-insulating materials such as silicone earplugs to achieve noise cancellation. Active noise cancellation, on the other hand, uses microphones in the headphones to collect external noise waves. The built-in system then analyzes the data and generates an inverse sound wave to cancel out the external noise, thus achieving noise cancellation.

[0004] For active noise-canceling headphones, the process of receiving ambient noise sound wave data and generating inverse sound waves takes time. If the noise frequency is too high, it's difficult to generate the corresponding inverse sound wave in time. Therefore, active noise cancellation primarily handles low-frequency noise in the audio range, and excessive noise volume also affects its effectiveness. Furthermore, because active noise cancellation involves system computation and analysis, it carries a risk of malfunction compared to passive noise cancellation. Summary of the Invention

[0005] The purpose of this invention is to provide a Bluetooth headset intelligent noise reduction judgment system based on sound data recognition, and to solve the following technical problems:

[0006] (1) How to determine the ambient noise volume threshold and frequency threshold suitable for active noise cancellation of Bluetooth headphones by identifying and analyzing the sound data during the noise cancellation process of headphones.

[0007] (2) How to analyze and judge the active noise cancellation function failure of Bluetooth headphones.

[0008] The objective of this invention can be achieved through the following technical solutions:

[0009] A Bluetooth headset intelligent noise reduction judgment system based on sound data recognition, comprising:

[0010] The environment simulation module is used to simulate a noisy environment by playing simulated audio.

[0011] The information acquisition module is used to collect sound data in noisy environments and within Bluetooth headsets;

[0012] The data recognition module is used to identify the noise information before and after the headphone noise reduction process, as well as the inverse sound wave curve generated during the headphone noise reduction process, based on the collected sound data.

[0013] The analysis and processing module is used to comprehensively process and analyze noise information and anti-phase sound wave information, and to establish noise environment regulation strategies based on the results of the processing and analysis.

[0014] The adjustment module is used to implement noise environment adjustment strategies to adjust the analog audio.

[0015] Furthermore, the noise information includes the noise sound wave curve before noise reduction processing and the residual noise decibel value curve after noise reduction processing; the adjustment of the analog audio includes: adjusting the volume of the analog audio and adjusting the frequency of the analog audio.

[0016] Furthermore, the operation of the analysis and processing module includes:

[0017] The residual noise decibel curve is divided into n segments based on the fluctuation information of the preset decibel curve of the analog audio.

[0018] Through formula The noise reduction attenuation value was calculated. ;

[0019] in, The preset decibel values ​​change over time; Data on residual noise in decibels that vary over time; This is a preset value for noise attenuation caused by the distance between the audio source and the headphones; , These are the time values ​​of the left and right endpoints of the interval corresponding to the residual noise decibel value curve of the i-th segment, respectively; The preset weighting coefficient corresponds to the residual noise decibel value curve of the i-th segment; ; a is the transformation function;

[0020] Noise reduction attenuation value With preset threshold Make a comparison and judgment:

[0021] like If so, then reduce the volume of the analog audio;

[0022] like This increases the volume of the analog audio;

[0023] like Then, it records the current volume of the analog audio.

[0024] Furthermore, the process of adjusting the volume of the analog audio is as follows:

[0025] when At that time, the average decibel value of the analog audio decreased by: ;

[0026] when At that time, the average decibel value of the analog audio increased by: ;

[0027] in, The preset unit adjustment amount; This is a reference value for error.

[0028] Furthermore, the operation of the analysis and processing module also includes:

[0029] The noise sound wave curve is smoothed to obtain the curve. ;

[0030] Smoothing the antiphase acoustic wave curve yields the curve. ;

[0031] In the time interval Inside, for the curve and curve Make a comprehensive judgment and analysis;

[0032] in and All corresponding curves and curve The intersection point.

[0033] Furthermore, for the curve and curve The process of making a comprehensive judgment and analysis includes:

[0034] Through equations Calculate the root , And record the number of roots M;

[0035] Through equations Calculate the root , And record the number of roots N;

[0036] like If so, it is determined that the noise reduction function is malfunctioning;

[0037] like Then through the formula Calculate the noise reduction efficiency parameters ;in, For noise sound waves in the interval The average frequency value within; For conversion functions;

[0038] noise reduction efficiency parameters With threshold Compare:

[0039] like This enhances the frequency of the analog audio;

[0040] like Then reduce the frequency of the analog audio;

[0041] like Then, the frequency of the current analog audio is recorded.

[0042] Furthermore, for the curve and curve The process of making a comprehensive judgment and analysis also includes:

[0043] Using the following formula:

[0044] Calculate the noise reduction failure risk parameters ;

[0045] in, , Preset weighting coefficients; This is a preset reference coefficient; The standard deviation;

[0046] If noise reduction failure risk parameters Exceeding the risk threshold If so, it can be determined that the noise reduction function is malfunctioning.

[0047] Furthermore, the process of adjusting the frequency of the analog audio is as follows:

[0048] when At that time, the increase in the average frequency value of the analog audio is:

[0049]

[0050] when At that time, the average frequency value of the analog audio decreased by the following amount:

[0051]

[0052] Where G is the transformation function.

[0053] The beneficial effects of this invention are:

[0054] (1) The present invention simulates an adjustable noise environment by setting up an environment simulation module and an adjustment module. By cooperating with the information acquisition module and the data recognition module, it obtains sound information parameters that directly or indirectly reflect the noise reduction effect during the noise reduction process of Bluetooth headphones. Then, by analyzing and processing the information parameters, it can analyze the noise reduction effect of Bluetooth headphones in detail and determine whether the noise reduction function of Bluetooth headphones has malfunctioned based on the effect.

[0055] (2) The present invention can also establish a noise environment adjustment strategy based on the results of analysis and judgment, and implement the strategy through the adjustment module to perform feedback adjustment on the environment simulation module, repeat the above judgment and adjustment process, and then obtain the threshold of volume and frequency of environmental noise that is suitable for Bluetooth headset active noise cancellation. Attached Figure Description

[0056] The invention will now be further described with reference to the accompanying drawings.

[0057] Figure 1 This is a schematic block diagram of the Bluetooth headset intelligent noise reduction judgment system based on sound data recognition according to the present invention. Detailed Implementation

[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] Please see Figure 1 As shown, the present invention is a Bluetooth headset intelligent noise reduction judgment system based on sound data recognition, comprising:

[0060] The environment simulation module is used to simulate a noisy environment by playing simulated audio.

[0061] The information acquisition module is used to collect sound data in noisy environments and within Bluetooth headsets;

[0062] The data recognition module is used to identify the noise information before and after the headphone noise reduction process, as well as the inverse sound wave curve generated during the headphone noise reduction process, based on the collected sound data.

[0063] The analysis and processing module is used to comprehensively process and analyze noise information and anti-phase sound wave information, and to establish noise environment regulation strategies based on the results of the processing and analysis.

[0064] The adjustment module is used to implement noise environment adjustment strategies to adjust the analog audio.

[0065] Through the above technical solution, this embodiment provides a system for judging and analyzing sound data during the noise cancellation process of Bluetooth headphones. It can detect and judge malfunctions in the noise cancellation function of Bluetooth headphones while simultaneously analyzing and determining the threshold values ​​of various environmental noise parameters suitable for active noise cancellation in Bluetooth headphones. Specifically, this embodiment simulates an adjustable noise environment through the setting of an environmental simulation module and an adjustment module. Through the cooperation of an information acquisition module and a data recognition module, it acquires sound information parameters that directly or indirectly reflect the noise cancellation effect during the Bluetooth headphone noise cancellation process. By analyzing and processing these information parameters, it can refine the analysis of the noise cancellation effect of the Bluetooth headphones and determine whether the noise cancellation function of the Bluetooth headphones has malfunctioned based on the effect. Simultaneously, based on the analysis and judgment results, a noise environment adjustment strategy is established. The adjustment module executes this strategy to provide feedback adjustment to the environmental simulation module. This judgment and adjustment process is repeated until the threshold values ​​of various environmental noise parameters suitable for active noise cancellation in Bluetooth headphones are obtained. It should be noted that the content of the simulated audio playback must remain the same during multiple adjustments to avoid irrelevant variables affecting the overall system analysis and judgment.

[0066] The noise information includes the noise sound wave curve before noise reduction and the residual noise decibel value curve after noise reduction; the adjustment of the analog audio includes: adjusting the volume of the analog audio and adjusting the frequency of the analog audio.

[0067] Through the above technical solution, this embodiment provides specific parameters identified by the data recognition module based on the collected sound data, and specific adjustment parameters for the environmental simulation module by the adjustment module. Specifically, the noise information includes the noise sound wave curve before noise reduction processing and the residual noise decibel value curve after noise reduction processing. The adjustment module can adjust the volume and frequency of the simulated audio in the environmental simulation module.

[0068] The working process of the analysis and processing module includes:

[0069] The residual noise decibel curve is divided into n segments based on the fluctuation information of the preset decibel curve of the analog audio.

[0070] Through formula The noise reduction attenuation value was calculated. ;

[0071] in, The preset decibel values ​​change over time; Data on residual noise in decibels that vary over time; This is a preset value for noise attenuation caused by the distance between the audio source and the headphones; , These are the time values ​​of the left and right endpoints of the interval corresponding to the residual noise decibel value curve of the i-th segment, respectively; The preset weighting coefficient corresponds to the residual noise decibel value curve of the i-th segment; ; a is the transformation function;

[0072] Noise reduction attenuation value With preset threshold Make a comparison and judgment:

[0073] like If so, then reduce the volume of the analog audio;

[0074] like This increases the volume of the analog audio;

[0075] like Then, it records the current volume of the analog audio.

[0076] Through the above technical solution, this embodiment provides a specific process for the analysis and processing module to process and analyze noise information. Specifically, firstly, the residual noise decibel value curve is divided into n segments according to the preset decibel value curve fluctuation information of the simulated audio. In order to simulate the noise environment with changing conditions, the decibel value curve of the simulated audio fluctuates up and down within a certain range.

[0077] Therefore, through the formula The noise reduction attenuation value was calculated. Attenuation value It can intuitively reflect the sound volume attenuation after noise is processed by Bluetooth headphones, thus characterizing the noise cancellation effect of Bluetooth headphones. Furthermore, by measuring the attenuation value... With preset threshold Perform edge comparison, when The speaker mentioned that the ambient noise was too loud, causing the Bluetooth headphones to have poor noise cancellation, thus requiring the analog audio volume to be reduced; when This indicates that the Bluetooth headphones have a significant noise cancellation effect, and the ambient noise volume is relatively low. (The question is incomplete and requires further context.) The corresponding ambient volume threshold necessitates increasing the volume of the analog audio; when This allows you to record the current volume of analog audio and directly mark it as the ambient noise volume threshold.

[0078] It should be noted that in the above technical solutions The preset value for noise attenuation caused by the distance between the audio source and the headphones can be obtained based on noise information measured at the location of the Bluetooth headphones. The preset weighting coefficient corresponding to the residual noise decibel value curve of the i-th segment can be obtained by fitting experimental data; a is the transformation function, which is determined according to the fluctuation characteristics of the simulated audio sound wave.

[0079] The process of adjusting the volume of analog audio is as follows:

[0080] when At that time, the average decibel value of the analog audio decreased by: ;

[0081] when At that time, the average decibel value of the analog audio increased by: ;

[0082] in, The preset unit adjustment amount; This is a reference value for error.

[0083] Through the above technical solution, this embodiment provides a specific method for adjusting the volume of analog audio. Specifically, when... At that time, the average decibel value of the analog audio decreased by: ;when At that time, the average decibel value of the analog audio increased by: Based on the noise reduction attenuation value With preset threshold The specific relationship is used to adjust the volume of the analog audio accordingly, making it easier to find the correct relationship more quickly. The corresponding ambient volume threshold. It should be noted that... The preset unit adjustment amount is set according to the allowable adjustment range. This serves as an error reference value and can be obtained by fitting experimental data.

[0084] The working process of the analysis and processing module also includes:

[0085] The noise sound wave curve is smoothed to obtain the curve. ;

[0086] Smoothing the antiphase acoustic wave curve yields the curve. ;

[0087] In the time interval Inside, for the curve and curve Make a comprehensive judgment and analysis;

[0088] in and All corresponding curves and curve The intersection point.

[0089] Through the above technical solution, this embodiment provides a process for the analysis and processing module to process and analyze noise information. First, the noise sound wave curve and the inverted sound wave curve are smoothed. It should be noted that this processing does not change the number of peaks and troughs of the curve. Then, within the time interval... Inside, for the curve and curve To make a comprehensive judgment and analysis, because and All corresponding curves and curve The intersection point, therefore, according to the principle of active noise reduction, in the interval... Inner curve peaks and curves The troughs are in a one-to-one correspondence. Finally, the curve... and curve Make a comprehensive judgment and analysis.

[0090] For curves and curve The process of making a comprehensive judgment and analysis includes:

[0091] Through equations Calculate the root , And record the number of roots M;

[0092] Through equations Calculate the root , And record the number of roots N;

[0093] like If so, it is determined that the noise reduction function is malfunctioning;

[0094] like Then through the formula Calculate the noise reduction efficiency parameters ;in, For noise sound waves in the interval The average frequency value within; For conversion functions;

[0095] noise reduction efficiency parameters With threshold Compare:

[0096] like This enhances the frequency of the analog audio;

[0097] like Then reduce the frequency of the analog audio;

[0098] like Then, the frequency of the current analog audio is recorded.

[0099] Through the above technical solution, this embodiment provides a method for curve... and curve The specific process of making comprehensive judgments and analyses, specifically, through equations. Calculate the root , And record the number of roots M; through the equation Calculate the root , And record the number of roots N. If This illustrates the curve. peaks and curves The troughs do not show a one-to-one correspondence, therefore it is determined that the noise reduction function has malfunctioned; if Further analysis is needed, specifically through formulas. Calculate the noise reduction efficiency parameters The noise reduction efficiency parameter It directly reflects the timeliness of the action generated by the anti-phase sound wave, and therefore can characterize the effect of active noise cancellation in Bluetooth headphones, thus allowing the noise cancellation efficiency parameter to be used. With threshold When making comparisons, This indicates that the anti-phase sound wave generation is timely and the noise reduction effect is good, therefore the frequency of the analog audio can be further enhanced; if This indicates that the antiphase sound wave cannot be generated in time in a noisy environment at this audio frequency, therefore it is necessary to reduce the frequency of the analog audio; if This allows the frequency of the current analog audio to be recorded and directly marked as the ambient noise frequency threshold. It should be noted that, due to the curve... Relative to curve Delayed generation, therefore Hengcheng was established; For noise sound waves in the interval The average frequency value within the range can be measured based on experimental data; The transformation function is determined by the inherent wave characteristics of the simulated audio sound wave.

[0100] For curves and curve The process of making a comprehensive judgment and analysis also includes:

[0101] Using the following formula:

[0102] Calculate the noise reduction failure risk parameters ;

[0103] in, , Preset weighting coefficients; This is a preset reference coefficient; The standard deviation;

[0104] If noise reduction failure risk parameters Exceeding the risk threshold If so, it can be determined that the noise reduction function is malfunctioning.

[0105] Through the above technical solution, this embodiment provides a method for determining the malfunction of the noise cancellation function of a Bluetooth headset, specifically, through the following formula:

[0106] Calculate the noise reduction failure risk parameters This risk parameter In the calculation formula, This reflects the stability of the anti-phase sound waves generated by the built-in noise cancellation system of Bluetooth headphones; This reflects the differences in the process of analyzing the received noise data multiple times by the Bluetooth headset's built-in noise cancellation system. Based on the above analytical methods, this risk parameter... With risk threshold Compare the risk parameters. Exceeding the risk threshold This indicates that the Bluetooth headset's noise analysis and judgment time varies significantly each time, resulting in unstable noise cancellation and a malfunction in the noise cancellation function. It should be noted that... The standard deviation corresponding to a certain audio frequency can be obtained by fitting experimental data. , Preset weighting coefficients , and preset reference coefficients All settings can be selected based on empirical data, and will not be elaborated further here.

[0107] The process of adjusting the frequency of analog audio is as follows:

[0108] when At that time, the increase in the average frequency value of the analog audio is:

[0109]

[0110] when At that time, the average frequency value of the analog audio decreased by the following amount:

[0111]

[0112] Where G is the transformation function.

[0113] Through the above technical solution, this embodiment provides a specific method for adjusting the frequency of analog audio. Specifically, when At that time, the increase in the average frequency value of the analog audio is: ,when At that time, the average frequency value of the analog audio decreased by the following amount: Where G is the transformation function obtained by fitting test data. Through the above technical solution, based on the current specific noise reduction efficiency parameters... and risk parameters The overall frequency of the analog audio is fine-tuned, and through multiple adjustments, the frequency threshold of ambient noise that is suitable for the active noise cancellation of Bluetooth headphones is found.

[0114] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A Bluetooth headset intelligent noise reduction judgment system based on sound data recognition, characterized in that, include: The environment simulation module is used to simulate a noisy environment by playing simulated audio. The information acquisition module is used to collect sound data in noisy environments and within Bluetooth headsets; The data recognition module is used to identify the noise information before and after the headphone noise reduction process, as well as the inverse sound wave curve generated during the headphone noise reduction process, based on the collected sound data. The analysis and processing module is used to comprehensively process and analyze noise information and anti-phase sound wave information, and to establish noise environment regulation strategies based on the results of the processing and analysis. The adjustment module is used to implement noise environment adjustment strategies to adjust the analog audio. The noise information includes the noise sound wave curve before noise reduction processing and the residual noise decibel value curve after noise reduction processing. Adjustments to the analog audio include: adjusting the volume of the analog audio, and adjusting the frequency of the analog audio; The working process of the analysis and processing module includes: The residual noise decibel curve is divided into n segments based on the fluctuation information of the preset decibel curve of the analog audio. Through formula The noise reduction attenuation value was calculated. ; in, The preset decibel values ​​change over time; Data on residual noise in decibels that vary over time; This is a preset value for noise attenuation caused by the distance between the audio source and the headphones; , These are the time values ​​of the left and right endpoints of the interval corresponding to the residual noise decibel value curve of the i-th segment, respectively; The preset weighting coefficient corresponds to the residual noise decibel value curve of the i-th segment; ;a is the transformation function determined based on the inherent wave characteristics of analog audio sound waves; Noise reduction attenuation value With preset threshold Make a comparison and judgment: like If so, then reduce the volume of the analog audio; like This increases the volume of the analog audio; like Then, the current volume of the analog audio is recorded; The process of adjusting the volume of analog audio is as follows: when At that time, the average decibel value of the analog audio decreased by: ; when At that time, the average decibel value of the analog audio increased by: ; in, The preset unit adjustment amount; This is a reference value for error. The working process of the analysis and processing module also includes: The noise sound wave curve is smoothed to obtain the curve. ; Smoothing the antiphase acoustic wave curve yields the curve. ; In the time interval Inside, for the curve and curve Make a comprehensive judgment and analysis; in and All corresponding curves and curve The intersection point; For curves and curve The process of making a comprehensive judgment and analysis includes: Through the system of equations Calculate the root , And record the number of roots M; Through the system of equations Calculate the root , And record the number of roots N; like If so, it is determined that the noise reduction function is malfunctioning; like Then through the formula Calculate the noise reduction efficiency parameters ;in, For noise sound waves in the interval The average frequency value within; The transformation function is determined by the inherent wave characteristics of simulated audio sound waves; noise reduction efficiency parameters With threshold Compare: like This enhances the frequency of the analog audio; like Then reduce the frequency of the analog audio; like Then, the frequency of the current analog audio is recorded.

2. The Bluetooth headset intelligent noise reduction judgment system based on sound data recognition according to claim 1, characterized in that, For curves and curve The process of making a comprehensive judgment and analysis also includes: Using the following formula: Calculate the noise reduction failure risk parameters ; in, , Preset weighting coefficients; This is a preset reference coefficient; The standard deviation; If noise reduction failure risk parameters Exceeding the risk threshold If so, it can be determined that the noise reduction function is malfunctioning.

3. The Bluetooth headset intelligent noise reduction judgment system based on sound data recognition according to claim 1, characterized in that, The process of adjusting the frequency of analog audio is as follows: when At that time, the increase in the average frequency value of the analog audio is: ； when At that time, the average frequency value of the analog audio decreased by the following amount: ； Where G is the transformation function obtained by fitting the test data.

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