An intelligent control system for active noise reduction TWS headphones

Abstract

The present invention relates to the technical field of wireless stereo headphones, and in particular to an intelligent control system for an active noise reduction TWS headset, comprising: a single chip microcomputer, used to monitor the running state of the headset, and synchronously control the operation of the system when the headset is turned on; a capture module, used to capture noise sound waves around the headset in real time; a determination module, used to receive the noise sound waves captured in the capture module, and determine whether the noise sound waves are usable sound waves; and a generation module, used to obtain the noise sound waves captured in the capture module. The present invention binds and stores the collected noise sound waves and the configured noise reduction sound waves, so that when the noise reduction headset is in the same noise environment, the noise reduction sound waves can be configured more quickly, and the active noise reduction response efficiency of the noise reduction headset is improved. At the same time, combined with the sound wave phase graphic analysis of the noise reduction headset playing audio, the noise reduction sound waves are deleted to reduce the total amount of noise reduction sound waves and improve the overall quality of the noise reduction headset playing audio.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless stereo headphones, and in particular to an intelligent control system of an active noise reduction TWS headset. Background Art

[0002] Noise-canceling headphones refer to headphones that use some method to reduce noise. There are two types of noise-canceling headphones: active noise-canceling headphones and passive noise-canceling headphones.

[0003] Active noise-cancelling headphones achieve the effect of noise reduction by generating anti-phase sound waves equal to the external noise through the noise reduction system, neutralizing the noise.

[0004] However, current noise reduction headphones often use a specified operating program to implement noise reduction processing when applying the active noise reduction function, and are unable to intelligently and efficiently configure noise reduction processing logic for similar noise environments based on historical operating data. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent control system for active noise reduction TWS headphones, which solves the technical problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] An intelligent control system for an active noise reduction TWS headset, comprising:

[0008] A single-chip microcomputer is used to monitor the operating status of the earphone and synchronously control the operation of the system when the earphone is turned on; a capture module is used to capture the noise sound waves around the earphone in real time; a determination module is used to receive the noise sound waves captured in the capture module and determine whether the noise sound waves are usable sound waves; a generation module is used to obtain the noise sound waves captured in the capture module and generate sound waves with the same amplitude and opposite phase as the noise sound waves; a call module is used to call the sound waves historically generated by the generation module; a configuration module is used to receive the sound waves obtained by running the generation module or the call module, and configure the sound waves to the current earphone playing audio; an improvement module is used to receive the current earphone playing audio, convert the current earphone playing audio into a sound wave phase graph, search for phase segments similar to the sound wave phase graph obtained by converting the earphone playing audio in the phase graph of the sound wave configured by the configuration module, and delete the sound wave segments corresponding to the similar phase segments in the phase graph of the sound wave configured by the configuration module.

[0009] Furthermore, the capture modules are provided in several groups, and the capture modules are evenly arranged on the surface of the earphone to collect noise sound waves in all directions around the earphone. After capturing the noise sound waves around the earphone, the capture modules synchronously convert the noise sound waves into sound wave phase graphs;

[0010] The capture module is internally provided with submodules, including:

[0011] A storage unit, used for traversing the captured noise sound waves around the earphones converted into sound wave phase graphs in the capture module, and selecting a group of noise sound waves corresponding to the sound wave phase graphs for storage;

[0012] Among them, after the storage unit selects the sound wave phase graph corresponding to the noise sound wave, it synchronously searches for a similar sound wave phase graph in the storage unit with the selected sound wave phase graph. When a similar sound wave phase graph is found, the currently selected sound wave phase graph is discarded. Otherwise, the currently selected sound wave phase graph is stored.

[0013] Furthermore, the similarity calculation formula of the acoustic wave phase graph is:

[0014]

[0015] Where: S is the similarity of the two sets of acoustic wave phase graphs; α and β are adjustable weight parameters; n is the set of phase value sequences in the acoustic wave phase graph; a i is the phase value of the i-th phase value sequence in the acoustic wave phase graph a; b i is the phase value of the i-th phase value sequence in the acoustic wave phase graph b; C is the phase change consistency measure;

[0016] Among them, when the similarity S of two groups of sound wave phase graphics is obtained, one group of sound wave phase graphics is the sound wave phase graphics corresponding to the noise sound wave currently selected by the storage unit, and the other group of sound wave phase graphics is any group of sound wave phase graphics stored in the storage unit. Based on the above formula, the similarity of all sound wave phase graphics stored in the storage unit and the sound wave phase graphics corresponding to the noise sound wave currently selected by the storage unit are calculated. When the largest group of similarity calculation results among the similarity calculation results is not less than 95%, it is determined that the sound wave phase graphics corresponding to the noise sound wave currently selected by the storage unit are similar graphics, otherwise, they are not similar graphics.

[0017] Furthermore, the phase value sequence of the acoustic wave phase graph a is represented by {a1, a2, a3, ...a n}, the phase value sequence of the acoustic wave phase graph b is represented by {b1, b2, b3, ...b n}, the phase change consistency metric C is expressed as:

[0018]

[0019] Where: ai, ai+1 are derived from {a1, a2, a3, ...a n} in; b i , b i+1Derived from {b1, b2, b3, ...b n}middle;

[0020] Among them, when the storage unit selects the noise sound wave corresponding sound wave phase graph as the storage target, it selects based on the difference between the peaks and troughs in the sound wave phase graph, and selects a group of noise sound waves corresponding to the sound wave phase graph with the largest difference between the peaks and troughs as the storage target.

[0021] Furthermore, the noise sound wave captured in the capturing module and received by the determining module is the noise sound wave currently selected by the storage unit. The determining module determines whether the noise sound wave is an available noise sound wave, that is, determines whether the sound wave phase graph corresponding to the selected noise sound wave is stored. If the sound wave phase graph corresponding to the selected noise sound wave is stored by the storage unit, it is determined to be an unavailable sound wave. Otherwise, it is determined to be an available sound wave.

[0022] Among them, when it is determined that the sound wave is available, the call module is triggered to run, and when it is determined that the sound wave is unavailable, the generation module is triggered to run.

[0023] Furthermore, the sound waves generated by the operation of the generating module are synchronously sent to the storage unit, and are bound and stored with the sound waves of the source of the sound waves generated by the operation of the generating module stored in the storage unit;

[0024] In the operation phase of the calling module, the operation of generating sound waves in history by the generating module is called, that is, the noise sound wave stored in the storage unit similar to the noise sound wave currently selected by the storage unit is called and bound to the corresponding noise sound wave.

[0025] Furthermore, when configuring the sound wave to play the audio on the current earphone, the configuration module synchronously sets the system reset cycle. Based on the system reset cycle, the configuration module controls the system to continuously reset and run, and performs the operation of continuously configuring the sound wave to play the audio on the current earphone.

[0026] The reset period set in the configuration module is manually set by the system user, and the reset period is applied when the headset is turned on.

[0027] Furthermore, during the operation phase of the improvement module, when searching for a phase segment similar to the phase graph of the sound wave obtained by converting the audio played by the earphone in the phase graph of the sound wave configured by the configuration module, a similarity calculation formula of the phase graph of the sound wave is applied to perform similarity determination on the phase segment;

[0028] The phase segments in the sound wave phase graph obtained by converting the audio played by the earphone and the phase segments in the phase graph of the sound wave configured by the configuration module are obtained based on the segmentation of the sound wave phase graph.

[0029] Furthermore, the division unit of the sound wave phase graph is manually set by the system end user, and the division operation of the sound wave phase graph is a continuous equal division, and obeys: the higher the headphone noise reduction requirement, the smaller the division unit of the sound wave phase graph, and the lower the headphone noise reduction requirement, the larger the division unit of the sound wave phase graph.

[0030] Furthermore, the single-chip microcomputer is electrically connected to a capture module through a medium, the capture module is electrically connected to a storage unit through a medium, the single-chip microcomputer is electrically connected to a determination module through a medium, the determination module is electrically connected to a generation module and a retrieval module through a medium, the single-chip microcomputer is electrically connected to a configuration module through a medium, the configuration module is electrically connected to an improvement module through a medium, the improvement module is electrically connected to the single-chip microcomputer through a medium, and the configuration module is interactively connected to the headset through a medium.

[0031] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0032] Beneficial effects:

[0033] The present invention provides an intelligent control system for an active noise reduction TWS headset. During operation, the system can configure noise reduction waves more quickly when the noise reduction headset is in the same noise environment by binding and storing the collected noise sound waves and the configured noise reduction sound waves. This improves the active noise reduction response efficiency of the noise reduction headset. At the same time, combined with the sound wave phase graphic analysis of the audio played by the noise reduction headset, the noise reduction sound waves are deleted to reduce the total amount of noise reduction sound waves and improve the overall quality of the audio played by the noise reduction headset. By controlling the deletion accuracy of the noise reduction sound waves, different noise reduction effects are brought to the noise reduction headset to meet the usage requirements of the noise reduction headset users in various noise reduction scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 This is a structural schematic diagram of an intelligent control system for active noise reduction TWS headphones. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] The present invention will be further described below in conjunction with the embodiments.

[0038] Embodiment 1:

[0039] An intelligent control system of an active noise reduction TWS headset of this embodiment, such as Figure 1 As shown, including:

[0040] A single-chip microcomputer is used to monitor the operating status of the headset and synchronously control the operation of the system when the headset is turned on;

[0041] Capture module, used to capture the noise sound waves around the earphone in real time;

[0042] There are several groups of capture modules, which are evenly deployed on the surface of the earphone to collect noise sound waves in all directions around the earphone. After capturing the noise sound waves around the earphone, the capture module synchronously converts the noise sound waves into sound wave phase graphs;

[0043] The capture module is internally provided with submodules, including:

[0044] A storage unit, used for traversing the captured noise sound waves around the earphones converted into sound wave phase graphs in the capture module, and selecting a group of noise sound waves corresponding to the sound wave phase graphs for storage;

[0045] After selecting the sound wave phase graph corresponding to the noise sound wave, the storage unit synchronously searches for a similar sound wave phase graph in the storage unit with the selected sound wave phase graph. When a similar sound wave phase graph is found, the currently selected sound wave phase graph is discarded. Otherwise, the currently selected sound wave phase graph is stored.

[0046] The similarity calculation formula of the acoustic wave phase graph is:

[0047]

[0048] Where: S is the similarity of the two sets of acoustic wave phase graphs; α and β are adjustable weight parameters; n is the set of phase value sequences in the acoustic wave phase graph; a i is the phase value of the i-th phase value sequence in the acoustic wave phase graph a; b i is the phase value of the i-th phase value sequence in the acoustic wave phase graph b; C is the phase change consistency measure;

[0049] Among them, when the similarity S of the two groups of sound wave phase graphs is obtained, one group of sound wave phase graphs is the sound wave phase graph corresponding to the noise sound wave currently selected by the storage unit, and the other group of sound wave phase graphs is any group of sound wave phase graphs stored in the storage unit. Based on the above formula, the similarity of all the sound wave phase graphs stored in the storage unit and the sound wave phase graph corresponding to the noise sound wave currently selected by the storage unit is calculated. When the largest group of similarity calculation results among the similarity calculation results is not less than 95%, it is determined that the sound wave phase graph corresponding to the noise sound wave currently selected by the storage unit is a similar graph, otherwise, it is not a similar graph;

[0050] The phase value sequence of the acoustic wave phase graph a is represented by {a1, a2, a3, ...a n}, the phase value sequence of the acoustic wave phase graph b is represented by {b1, b2, b3, ...b n}, the phase change consistency metric C is expressed as:

[0051]

[0052] Where: ai, ai+1 are derived from {a1, a2, a3, ...a n} in; b i , b i+1 Derived from {b1, b2, b3, ...b n}middle;

[0053] Wherein, when the storage unit selects the sound wave phase graph corresponding to the noise sound wave as the storage target, the storage unit selects based on the difference between the peak and the trough in the sound wave phase graph, and selects a group of noise sound wave corresponding to the sound wave phase graph with the largest difference between the peak and the trough as the storage target;

[0054] A determination module, used for receiving the noise sound wave captured by the capture module, and determining whether the noise sound wave is a usable sound wave;

[0055] A generating module is used to obtain the noise sound wave captured by the capturing module and generate a sound wave with the same amplitude and opposite phase as the noise sound wave;

[0056] A calling module is used to call the sound waves generated historically by the generating module;

[0057] A configuration module is used to receive the sound waves obtained by the generation module or the call module, and configure the sound waves to play audio on the current earphone;

[0058] An improved module, used for receiving the audio currently played by the earphone, converting the audio currently played by the earphone into a sound wave phase graph, searching for a phase segment similar to the sound wave phase graph obtained by converting the audio played by the earphone in the phase graph of the sound wave configured by the configuration module, and deleting the sound wave segment corresponding to the similar phase segment in the phase graph of the sound wave configured by the configuration module;

[0059] The single-chip microcomputer is electrically connected to a capture module through a medium, the capture module is electrically connected to a storage unit through a medium, the single-chip microcomputer is electrically connected to a determination module through a medium, the determination module is electrically connected to a generation module and a retrieval module through a medium, the single-chip microcomputer is electrically connected to a configuration module through a medium, the configuration module is electrically connected to an improvement module through a medium, the improvement module is electrically connected to the single-chip microcomputer through a medium, and the configuration module is interactively connected to the headset through a medium.

[0060] In this embodiment, the single-chip microcomputer controls the capture module to run real-time capture of noise sound waves around the earphone, the storage unit synchronously traverses the captured noise sound waves around the earphone converted into sound wave phase graphs in the capture module, selects a group of noise sound waves corresponding to sound wave phase graphs for storage, the determination module post-runs to receive the noise sound waves captured in the capture module, and determines whether the noise sound waves are usable sound waves, the generation module synchronously obtains the noise sound waves captured in the capture module, generates sound waves with the same amplitude and opposite phase as the noise sound waves, and then the retrieval module retrieves the historically generated sound waves of the generation module, the configuration module further receives the sound waves obtained by the generation module or the retrieval module, configures the sound waves to the current earphone playing audio, and finally receives the current earphone playing audio through the improvement module, converts the current earphone playing audio into a sound wave phase graph, searches for phase segments similar to the sound wave phase graph obtained by converting the earphone playing audio in the phase graph of the sound wave configured by the configuration module, and deletes the sound wave segments corresponding to the similar phase segments in the phase graph of the sound wave configured by the configuration module.

[0061] Through the operation of the system in the above embodiment, a more efficient, intelligent, and precision-controlled noise reduction control effect is provided to the noise reduction headphones, thereby improving the user experience of the noise reduction headphones.

[0062] Embodiment 2:

[0063] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The intelligent control system of an active noise reduction TWS headset in Example 1 is further described in detail:

[0064] The noise sound wave captured by the capturing module and received by the determining module is the noise sound wave currently selected by the storage unit. The determining module determines whether the noise sound wave is an available noise sound wave, that is, whether the sound wave phase graph corresponding to the selected noise sound wave is stored. If the sound wave phase graph corresponding to the selected noise sound wave is stored by the storage unit, it is determined to be an unavailable sound wave. Otherwise, it is determined to be an available sound wave.

[0065] Among them, when it is determined that the sound wave is available, the call module is triggered to run, and when it is determined that the sound wave is unavailable, the generation module is triggered to run.

[0066] The sound waves generated by the operation of the generation module are synchronously sent to the storage unit, and are bound and stored with the sound waves of the source of the sound waves generated by the operation of the generation module stored in the storage unit;

[0067] In the operation phase of the calling module, the operation of generating sound waves in history by the generating module is called, that is, the noise sound wave stored in the storage unit similar to the noise sound wave currently selected by the storage unit is called and bound to the corresponding noise sound wave.

[0068] Through the above settings, the necessary operating data support is provided for the generation module and the retrieval module, ensuring that the production module and the retrieval module can stably provide noise reduction waves for the audio currently played by the headphones.

[0069] like Figure 1 As shown, when the configuration module configures the sound wave to play the audio on the current earphone, the system reset cycle is set synchronously. Based on the system reset cycle, the configuration module controls the system to continuously reset and run, and performs the operation of continuously configuring the sound wave to play the audio on the current earphone;

[0070] The reset period set in the configuration module is manually set by the system user, and the reset period is applied when the headset is turned on.

[0071] Through the above settings, further operation logic is provided for the configuration module of the system in Example 1, ensuring that the system runs continuously based on the control of the configuration module, thereby bringing better real-time noise reduction effect to the noise reduction headphones.

[0072] like Figure 1 As shown, during the operation phase of the improvement module, when searching for a phase segment similar to the phase graph of the sound wave obtained by converting the audio played by the earphone in the phase graph of the sound wave configured by the configuration module, the similarity calculation formula of the sound wave phase graph is applied to perform similarity judgment on the phase segment;

[0073] The phase segments in the sound wave phase graph obtained by converting the audio played by the earphone and the phase segments in the phase graph of the sound wave configured by the configuration module are obtained based on the segmentation of the sound wave phase graph;

[0074] The division unit of the sound wave phase graph is manually set by the system user. The division operation of the sound wave phase graph is a continuous equal division and is subject to the following: the higher the noise reduction requirement of the headphone, the smaller the division unit of the sound wave phase graph; the lower the noise reduction requirement of the headphone, the larger the division unit of the sound wave phase graph.

[0075] Through the above settings, the segmentation logic of the sound wave phase graph is further improved, so that the noise reduction headphones can implement noise reduction processing effects with different noise reduction precisions under the noise reduction control of the system, thereby bringing a better user experience to the noise reduction headphone users.

[0076] In summary, during the operation of the system in the above embodiment, by binding and storing the collected noise sound waves and the configured noise reduction sound waves, the noise reduction headphones can be configured with noise reduction waves more quickly when they are in the same noise environment, thereby improving the active noise reduction response efficiency of the noise reduction headphones. At the same time, combined with the sound wave phase graphic analysis of the audio played by the noise reduction headphones, the noise reduction sound waves are deleted to reduce the total amount of noise reduction sound waves and improve the overall quality of the audio played by the noise reduction headphones. By controlling the deletion accuracy of the noise reduction sound waves, different noise reduction effects are brought to the noise reduction headphones to meet the usage needs of noise reduction headphone users in various noise reduction scenarios.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control system for active noise reduction TWS headphones, characterized in that: include: A single-chip microcomputer is used to monitor the operating status of the headset and synchronously control the operation of the system when the headset is turned on; Capture module, used to capture the noise sound waves around the earphone in real time; A determination module, used for receiving the noise sound wave captured by the capture module, and determining whether the noise sound wave is a usable sound wave; A generating module is used to obtain the noise sound wave captured by the capturing module and generate a sound wave with the same amplitude and opposite phase as the noise sound wave; A calling module is used to call the sound waves generated historically by the generating module; A configuration module is used to receive the sound waves obtained by the generation module or the call module, and configure the sound waves to play audio on the current earphone; An improved module, used for receiving the audio currently played by the earphone, converting the audio currently played by the earphone into a sound wave phase graph, searching for a phase segment similar to the sound wave phase graph obtained by converting the audio played by the earphone in the phase graph of the sound wave configured by the configuration module, and deleting the sound wave segment corresponding to the similar phase segment in the phase graph of the sound wave configured by the configuration module; The capture modules are provided in several groups, and the capture modules are evenly arranged on the surface of the earphone to collect noise sound waves in all directions around the earphone. After capturing the noise sound waves around the earphone, the capture modules synchronously convert the noise sound waves into sound wave phase graphs; The capture module is internally provided with submodules, including: A storage unit, used for traversing the captured noise sound waves around the earphones converted into sound wave phase graphs in the capture module, and selecting a group of noise sound waves corresponding to the sound wave phase graphs for storage; After selecting the sound wave phase graph corresponding to the noise sound wave, the storage unit synchronously searches for a similar sound wave phase graph in the storage unit with the selected sound wave phase graph. When a similar sound wave phase graph is found, the currently selected sound wave phase graph is discarded. Otherwise, the currently selected sound wave phase graph is stored. The similarity calculation formula of the acoustic wave phase graph is: Where: S is the similarity of the two sets of acoustic phase graphs; α and β are adjustable weight parameters; n is the set of phase value sequences in the acoustic phase graph; ai is the phase value of the i-th phase value sequence in the acoustic phase graph a; b i is the phase value of the i-th phase value sequence in the acoustic wave phase graph b; C is the phase change consistency measure; Among them, when the similarity S of the two groups of sound wave phase graphs is obtained, one group of sound wave phase graphs is the sound wave phase graph corresponding to the noise sound wave currently selected by the storage unit, and the other group of sound wave phase graphs is any group of sound wave phase graphs stored in the storage unit. Based on the above formula, the similarity of all the sound wave phase graphs stored in the storage unit and the sound wave phase graph corresponding to the noise sound wave currently selected by the storage unit is calculated. When the largest group of similarity calculation results among the similarity calculation results is not less than 95%, it is determined that the sound wave phase graph corresponding to the noise sound wave currently selected by the storage unit is a similar graph, otherwise, it is not a similar graph; The phase value sequence of the acoustic wave phase graph a is represented by {a1, a2, a3, ...a n }, the phase value sequence of the acoustic wave phase graph b is represented by {b1, b2, b3, ...b n }, the phase change consistency metric C is expressed as: Where: ai, ai+1 are derived from {a1, a2, a3, ...a n } in; b i 、b i+1 Derived from {b1, b2, b3, ...b n }middle; Wherein, when the storage unit selects the sound wave phase graph corresponding to the noise sound wave as the storage target, the storage unit selects based on the difference between the peak and the trough in the sound wave phase graph, and selects a group of noise sound wave corresponding to the sound wave phase graph with the largest difference between the peak and the trough as the storage target; The noise sound wave captured by the capturing module and received by the determining module is the noise sound wave currently selected by the storage unit. The determining module determines whether the noise sound wave is an available noise sound wave, that is, whether the sound wave phase graph corresponding to the selected noise sound wave is stored. If the sound wave phase graph corresponding to the selected noise sound wave is stored by the storage unit, it is determined to be an unavailable sound wave. Otherwise, it is determined to be an available sound wave. When the sound wave is determined to be available, the calling module is triggered to run, and when the sound wave is determined to be unavailable, the generating module is triggered to run; The sound waves generated by the operation of the generating module are synchronously sent to the storage unit, and are bound and stored with the sound waves of the source of the sound waves generated by the operation of the generating module stored in the storage unit; In the operation phase of the calling module, the operation of the generating module generating sound waves in history is called, that is, the noise sound wave stored in the storage unit similar to the noise sound wave currently selected by the storage unit is called and the corresponding bound noise sound wave is called; During the operation phase of the improvement module, when searching for a phase segment similar to the phase graph of the sound wave obtained by converting the audio played by the earphone in the phase graph of the sound wave configured by the configuration module, a similarity calculation formula of the phase graph of the sound wave is applied to perform similarity determination on the phase segment; The phase segments in the sound wave phase graph obtained by converting the audio played by the earphone and the phase segments in the phase graph of the sound wave configured by the configuration module are obtained based on the segmentation of the sound wave phase graph.

2. The intelligent control system of an active noise reduction TWS headset according to claim 1, characterized in that: The configuration module synchronously sets a system reset cycle when configuring the sound wave to play audio on the current earphone. The configuration module controls the system to continuously reset and run based on the system reset cycle, and performs the operation of continuously configuring the sound wave to play audio on the current earphone. The reset period set in the configuration module is manually set by the system user, and the reset period is applied when the headset is turned on.

3. The intelligent control system of an active noise reduction TWS headset according to claim 1, characterized in that: The division unit of the sound wave phase graph is manually set by the system user. The division operation of the sound wave phase graph is a continuous equal division and is subject to: the higher the headphone noise reduction requirement, the smaller the division unit of the sound wave phase graph, and the lower the headphone noise reduction requirement, the larger the division unit of the sound wave phase graph.

4. The intelligent control system of an active noise reduction TWS headset according to claim 1, characterized in that: The single-chip microcomputer is electrically connected to a capture module via a medium, a storage unit is electrically connected inside the capture module via a medium, the single-chip microcomputer is electrically connected to a determination module via a medium, the determination module is electrically connected to a generation module and a retrieval module via a medium, the single-chip microcomputer is electrically connected to a configuration module via a medium, the configuration module is electrically connected to an improvement module via a medium, the improvement module is electrically connected to the single-chip microcomputer via a medium, and the configuration module is electrically connected to the earphone via a medium.

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