Earphone noise reduction device and electronic equipment

Abstract

The utility model provides a receiver noise reduction device and electronic equipment, and the device comprises an internal noise monitoring microphone which is used for monitoring an internal noise signal, and the internal noise signal is based on a circuit board structure or is generated during signal transmission; the noise processing module is used for performing noise elimination processing on the to-be-played audio based on a preset noise elimination algorithm by referring to the internal noise signal before the receiver plays the to-be-played audio; and the noise reference loop is used for acquiring an internal noise signal from the internal noise monitoring microphone, transmitting the internal noise signal to the noise processing module, and transmitting the to-be-played audio after noise elimination to the receiver. Through application of the method and the device, the technical effect that the receiver can overcome the influence of noise caused by low-frequency magnetic interference, idle channel noise and capacitance howling is achieved, and the problem that the low-frequency magnetic interference, the idle channel noise and the capacitance howling cause interference on the audio played by the receiver in the prior art is solved.

Description

Technical Field

[0001] This application relates to the field of audio processing technology, and in particular to a handset noise reduction device and electronic device. Background Technology

[0002] Currently, when mobile phones, tablets, and other electronic devices make voice calls via cellular data or Wi-Fi, they typically use a microphone to pick up voice signals from outside the device's casing and a handset to transmit the voice. The microphone and handset work together to simultaneously pick up and transmit the voice, enabling remote communication.

[0003] During phone or tablet calls, the power amplifier system of the radio frequency (RF) component typically distributes wireless data simultaneously. In this scenario, the power supply system powering the RF power amplifier system activates. As the RF operating mode or state changes (e.g., standby, transmit, receive), the voltage of the power supply system fluctuates continuously, forming a power supply ripple loop. This ripple loop couples with the earpiece power supply loop at low frequencies, causing low-frequency magnetic interference (TDD) in the earpiece. Furthermore, the filter or decoupling capacitors at the power supply system output are typically X5R or X7R ceramic capacitors. Driven by the power supply ripple fluctuations, the ceramic body periodically expands, contracts, and deforms, causing the PCB board to vibrate. If this board vibration falls within the range of human hearing and has sufficient amplitude, it can be heard, resulting in what is known as "capacitor squealing."

[0004] Therefore, the related technologies suffer from problems such as low-frequency magnetic interference and capacitor howling that interfere with the audio played through the earpiece. Utility Model Content

[0005] This application provides a handset noise reduction device and electronic device to at least solve the problems of low-frequency magnetic interference and capacitor howling interfering with the audio played through the handset in the related art.

[0006] According to one aspect of the embodiments of this application, a handset noise reduction device is provided, comprising:

[0007] An internal noise monitoring microphone is used to monitor internal noise signals, which are noises generated based on the circuit board structure or during signal transmission.

[0008] The noise processing module is used to perform noise cancellation processing on the audio to be played before the earpiece plays the audio, referring to the internal noise signal and based on a preset noise cancellation algorithm.

[0009] A noise reference circuit is used to acquire the internal noise signal from the internal noise monitoring microphone, transmit the internal noise signal to the noise processing module, and transmit the noise-cancelled audio to be played to the earpiece.

[0010] Optionally, the aforementioned earpiece noise reduction device further includes:

[0011] An external noise monitoring microphone is used to monitor external noise signals in the environment.

[0012] The noise processing module is used to perform noise cancellation processing on the audio to be played before the earpiece plays the audio, referring to the internal noise signal and the external noise signal, based on a preset noise cancellation algorithm.

[0013] The noise reference circuit is used to acquire the internal noise signal from the internal noise monitoring microphone and the external noise signal from the external noise monitoring microphone, transmit the internal noise signal and the external noise signal to the noise processing module, and transmit the noise-cancelled audio to be played to the earpiece.

[0014] Optionally, as described in the aforementioned earpiece noise reduction device, the external noise monitoring microphone includes: a first external noise monitoring microphone and a second external noise monitoring microphone;

[0015] The first external noise monitoring microphone and the second external noise monitoring microphone are used to monitor external noise signals from at least two different environmental locations.

[0016] Optionally, as described in the aforementioned earpiece noise reduction device, the noise processing module includes:

[0017] A real-time inference unit is used to input the internal noise signal and the external noise signal into a pre-trained target AI model, and infer the correlation between the internal noise signal, the external noise signal and the earpiece noise, wherein the target AI model is used to implement the noise cancellation algorithm;

[0018] A noise cancellation unit is used to cancel noise in the audio to be played according to the correlation.

[0019] According to another aspect of the embodiments of this application, an electronic device is also provided, including the earpiece noise reduction device as described in any of the foregoing embodiments.

[0020] Alternatively, electronic devices as described above:

[0021] The distance between the internal noise monitoring microphone and the earpiece of the electronic device is within a preset distance range.

[0022] Alternatively, electronic devices as described above:

[0023] The internal noise monitoring microphone is located near the target decoupling capacitor, which is the decoupling capacitor with the largest voltage ripple fluctuation within a preset distance range of the earpiece.

[0024] Alternatively, electronic devices as described above:

[0025] The first external noise monitoring microphone is located on the top of the electronic device;

[0026] The second external noise monitoring microphone is located at the bottom of the electronic device.

[0027] In this embodiment, an earpiece noise reduction device and electronic device are used. The earpiece noise reduction device includes: an internal noise monitoring microphone for monitoring internal noise signals, which are noise generated based on the circuit board structure or during signal transmission; a noise processing module for performing noise cancellation processing on the audio to be played based on a preset noise cancellation algorithm, referencing the internal noise signals; and a noise reference circuit for acquiring the internal noise signals from the internal noise monitoring microphone, transmitting the internal noise signals to the noise processing module, and transmitting the noise-cancelled audio to the earpiece. Since the internal noise signals are generated by power supply ripple fluctuations, and the power supply ripple... The loop also couples with the earpiece power loop at low frequencies, causing low-frequency magnetic interference and idle channel noise in the earpiece, as well as capacitor howling. This internal noise signal is correlated with low-frequency magnetic interference, idle channel noise, and capacitor howling, all of which contribute to noise in the audio to be played. Therefore, the internal noise signal is also correlated with other noises. Based on this internal noise signal, effective noise cancellation of the audio to be played can be achieved. This achieves the technical effect of overcoming the noise caused by low-frequency magnetic interference, idle channel noise, and capacitor howling in the earpiece, thus solving the problem of interference caused by low-frequency magnetic interference, idle channel noise, and capacitor howling in related technologies. Attached Figure Description

[0028] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0029] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of an optional earpiece noise reduction device according to an embodiment of this application;

[0031] Figure 2 This is a schematic diagram of the structure of an optional electronic device according to an embodiment of this application;

[0032] Figure 3 This is an application according to an embodiment of the present application. Figure 1 A schematic diagram of the earpiece noise reduction method shown in the earpiece noise reduction device;

[0033] Figure 4 This is another application according to the embodiments of this application. Figure 1 The diagram shows an optional earpiece noise reduction method for the earpiece noise reduction device. Detailed Implementation

[0034] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0035] It is understood that the connection relationships described in this application refer to direct or indirect connections. For example, the connection between A and B can be a direct connection between A and B, or an indirect connection between A and B through one or more other electrical components. For instance, A can be directly connected to C, and C can be directly connected to B, thus achieving a connection between A and B through C. It is also understood that the "A connects to B" described in this application can be a direct connection between A and B, or an indirect connection between A and B through one or more other electrical components.

[0036] In the description of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A exists alone, A and B exist simultaneously, and B exists alone.

[0037] In the description of this application, the words "first," "second," etc., are used only to distinguish different objects and do not limit the quantity or order of execution, nor do they imply that they must be different. Furthermore, the terms "comprising" and "possessing," and any variations thereof, are intended to cover non-exclusive inclusion.

[0038] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0039] In the description of the embodiments in this application, unless otherwise stated, "multiple" means two or more. For example, multiple processing units means two or more processing units; multiple systems means two or more systems.

[0040] First, some nouns or terms that appear in the description of the embodiments of this application shall be interpreted as follows:

[0041] 1. Capacitor squeal refers to a sound produced within the audible range under certain conditions, particularly when using ceramic capacitors, where voltage fluctuations at a specific frequency cause mechanical vibrations within the capacitor. This phenomenon typically occurs when power supply ripple or other forms of AC signals pass through the capacitor, causing periodic expansion and contraction of the capacitor's internal materials.

[0042] 2. Low-frequency magnetic interference noise (TDD noise, Time Division Distortion Noise): handover noise introduced by different mobile phone users communicating with the base station through their respective time slots.

[0043] Figure 1 A handset noise reduction device provided in this application includes:

[0044] Internal noise monitoring microphone 1 is used to monitor internal noise signals, which are noises generated based on the circuit board structure or during signal transmission.

[0045] The noise processing module 2 is used to perform noise cancellation processing on the audio to be played before the earpiece plays the audio, referring to the internal noise signal and based on a preset noise cancellation algorithm.

[0046] Noise reference loop 3 is used to acquire the internal noise signal from the internal noise monitoring microphone, transmit the internal noise signal to the noise processing module, and transmit the noise-cancelled audio to the earpiece.

[0047] Specifically, in this embodiment, the internal noise monitoring microphone 1 is located near the decoupling capacitor to be monitored, where the voltage ripple fluctuation is large. This internal noise monitoring microphone 1 can monitor the noise signal of the corresponding decoupling capacitor and record it as the internal noise signal. Since the decoupling capacitor generally only emits a noise signal when the voltage ripple fluctuation is large and capacitor howling occurs, this internal noise signal is correlated with the voltage ripple fluctuation. Furthermore, because the power supply ripple loop also couples with the earpiece power supply loop at low frequencies, it causes low-frequency magnetic interference in the earpiece. This low-frequency magnetic interference produces background noise such as humming, hissing, or other types of noise. In other words, the internal noise signal includes: capacitor howling, low-frequency magnetic interference from the earpiece, and idle channel noise. Therefore, it can be seen that there is a correlation between the noise to be eliminated, caused by capacitor howling and low-frequency magnetic interference, in the audio to be played through the earpiece and the internal noise signal. Thus, the noise reference circuit 3 can transmit the internal noise signal to the noise processing module 2 after acquiring it through the communication connection with the internal noise monitoring microphone 1, so that the noise processing module can refer to the internal noise signal and perform noise elimination on the audio to be played based on the noise elimination algorithm.

[0048] As an optional implementation, the aforementioned earpiece noise reduction device further includes: an external noise monitoring microphone for monitoring external noise signals in the environment; as an optional implementation, the external noise monitoring microphone includes: a first external noise monitoring microphone 4 and a second external noise monitoring microphone 5; the first external noise monitoring microphone 4 and the second external noise monitoring microphone 5 are used to monitor external noise signals from at least two different environmental locations respectively. The noise processing module 2 is used to perform noise cancellation processing on the audio to be played before the earpiece plays the audio, referring to the internal noise signal and the external noise signal, based on a preset noise cancellation algorithm. Optionally, a real-time inference unit is used to input the internal noise signal and the external noise signal into a pre-trained target AI model, and infer the correlation between the internal noise signal, the external noise signal and the earpiece noise, wherein the target AI model is used to implement the noise cancellation algorithm; the noise cancellation unit is used to perform noise cancellation on the audio to be played according to the correlation. Noise reference loop 3 is used to acquire internal noise signals from the internal noise monitoring microphone and external noise signals from the external noise monitoring microphone, transmit the internal and external noise signals to the noise processing module, and transmit the noise-cancelled audio to be played to the earpiece. In other words, external sounds in the environment also generate noise, which can affect the earpiece. Therefore, external noise signals are acquired by monitoring the environment through the external noise monitoring microphone. To collect as much environmental noise as possible, a first external noise monitoring microphone 4 and a second external noise monitoring microphone 5 are set up to monitor external noise signals from at least two different environmental locations. In this embodiment, the first external noise monitoring microphone 4 may include one or more microphones, and the second external noise monitoring microphone 5 may also include one or more microphones. Furthermore, reference loop 2, through communication connections with the first and second external noise monitoring microphones 4 and 5, can perform noise cancellation on the audio to be played by referencing the internal and external noise signals after acquiring external noise signals from at least two different environmental locations through the noise processing module 2.

[0049] In this embodiment, an earpiece noise reduction device and method, and an electronic device are used. The earpiece noise reduction device includes: an internal noise monitoring microphone for monitoring internal noise signals, which are noise generated based on the circuit board structure or during signal transmission; a noise processing module for performing noise cancellation processing on the audio to be played based on a preset noise cancellation algorithm, referencing the internal noise signals; and a noise reference circuit for acquiring the internal noise signals from the internal noise monitoring microphone, transmitting the internal noise signals to the noise processing module, and transmitting the noise-cancelled audio to the earpiece. Since the internal noise signals are generated by power supply ripple fluctuations, and the power supply... The ripple loop also couples with the earpiece power supply loop at low frequencies, causing low-frequency magnetic interference and idle channel noise in the earpiece, as well as capacitor howling. This internal noise signal is correlated with low-frequency magnetic interference, idle channel noise, and capacitor howling, all of which contribute to noise in the audio to be played. Therefore, the internal noise signal is also correlated with other noises. Based on this internal noise signal, effective noise cancellation of the audio to be played can be achieved. This technical effect allows the earpiece to overcome the noise caused by low-frequency magnetic interference, idle channel noise, and capacitor howling, thus solving the problem of interference caused by low-frequency magnetic interference, idle channel noise, and capacitor howling in related technologies.

[0050] like Figure 2 As shown, according to another aspect of the embodiments of this application, an electronic device is also provided, including a handset noise reduction device as described in any of the foregoing embodiments.

[0051] As an optional implementation, in the aforementioned electronic device, the distance between the internal noise monitoring microphone 1 and the earpiece of the electronic device is within a preset distance range. Specifically, since only noise signals near the earpiece affect the audio that needs to be played through the earpiece, the distance between the internal noise monitoring microphone 1 and the earpiece of the electronic device is within a preset distance range. The size of this preset distance range can be set according to the actual distance at which the earpiece is affected. Further, the internal noise monitoring microphone is located near a target decoupling capacitor, which is the decoupling capacitor with the largest voltage ripple fluctuation within the preset distance range of the earpiece. Specifically, electrical signal measurements can be performed on the PCB board beforehand to determine the target decoupling capacitor with the largest voltage ripple fluctuation within the preset distance range of the earpiece. Then, the internal noise monitoring microphone 1 is located near the target decoupling capacitor, for example, the internal noise monitoring microphone 1 is attached to the target decoupling capacitor, or the distance between the internal noise monitoring microphone 1 and the target decoupling capacitor is less than the upper limit of the distance (e.g., 2mm, 1mm, etc.).

[0052] As an alternative implementation, as described in the aforementioned electronic device: a first external noise monitoring microphone is located at the top of the electronic device; a second external noise monitoring microphone is located at the bottom of the electronic device. Specifically, by placing a microphone at both the top and bottom of the electronic device (i.e., a first external noise monitoring microphone and a second external noise monitoring microphone), more information about ambient sound can be captured, including direct sound, reflected sound, and reverberation. More sound information helps to more accurately estimate the speech signal of the distant speaker, thereby improving the accuracy and efficiency of the echo cancellation algorithm. Furthermore, when both parties can speak simultaneously, the multi-microphone system can better handle cross-interference problems. The top and bottom microphones can focus on capturing near and far sounds respectively, ensuring good call quality even when two people are speaking at the same time, thus improving the full-duplex communication experience. Simultaneously, placing microphones at both the top and bottom ensures that regardless of how the user holds the phone, at least one microphone can effectively capture the user's voice without being blocked by the hand. This design improves the system's robustness and adapts to diverse usage scenarios.

[0053] According to one aspect of the embodiments of this application, a method for reducing earpiece noise applied to the aforementioned earpiece noise reduction device is provided. Optionally, the resource allocation method of the embodiments of this application can be executed by a server, by a terminal, or by both a server and a terminal. Alternatively, the execution of the resource allocation method of the embodiments of this application by the terminal can be performed by a client installed on it.

[0054] Taking the earpiece noise reduction method in this embodiment as an example, which is executed by the terminal, Figure 3 A method for reducing earpiece noise applied to the foregoing embodiments, provided in this application, includes the following steps:

[0055] Step S302: Obtain the internal noise signal, which is noise based on the circuit board structure or generated during signal transmission;

[0056] Step S304: Before playing the audio to be played through the earpiece, the audio to be played is subjected to noise cancellation processing based on a preset noise cancellation algorithm, with reference to the internal noise signal.

[0057] Step S306: The noise-cancelled audio to be played is transmitted to the earpiece.

[0058] The internal noise signal can be acquired by internal noise monitoring microphone 1, which is located near the decoupling capacitor to be monitored, where the voltage ripple fluctuation is large. The noise signal of the corresponding decoupling capacitor can be monitored through this internal noise monitoring microphone 1 and recorded as the internal noise signal.

[0059] Since decoupling capacitors typically only emit noise signals when voltage ripple fluctuations are large and capacitor howling occurs, this internal noise signal is correlated with voltage ripple fluctuations. Furthermore, the power supply ripple loop also couples with the earpiece power supply loop at low frequencies, causing low-frequency magnetic interference in the earpiece. This low-frequency magnetic interference produces background noise such as buzzing, hissing, or other types of noise. Therefore, this internal noise signal includes capacitor howling, low-frequency magnetic interference from the earpiece, and idle channel noise. Thus, the noise to be eliminated in the audio to be played, caused by capacitor howling and low-frequency magnetic interference, is correlated with the internal noise signal. Therefore, the noise reference loop 3, through its communication connection with the internal noise monitoring microphone 1, can acquire the internal noise signal, and then, through the noise processing module 2, reference the internal noise signal and use a preset noise cancellation algorithm to eliminate noise from the audio to be played.

[0060] As an optional implementation method, the method described above,

[0061] This also includes: monitoring external noise signals in the environment;

[0062] Before the earpiece plays the audio to be played, the audio to be played is subjected to noise cancellation processing based on a preset noise cancellation algorithm, with reference to the internal noise signal, including:

[0063] Before the audio to be played is played through the earpiece, the audio to be played is processed for noise cancellation based on a preset noise cancellation algorithm, taking into account the internal noise signal and the external noise signal.

[0064] In other words, external sounds in the environment can also generate noise, which in turn affects the earpiece. Therefore, external noise signals in the environment can be obtained by listening to the external noise signal through an external noise monitoring microphone. After obtaining external noise signals from at least two different environmental locations, the internal noise signal and the external noise signal can be referenced, and noise cancellation can be performed on the audio to be played based on a preset noise cancellation algorithm.

[0065] As an optional implementation, the method described above involves using external noise signals and internal noise signals as reference signals to perform noise cancellation on the audio to be played, including:

[0066] The pre-processed internal noise signal and external noise signal are input into the pre-trained target AI model, and the correlation between the internal noise signal, external noise signal and earpiece noise is inferred. The target AI model is used to implement the noise cancellation algorithm.

[0067] Specifically, such as Figure 4As shown, after acquiring the internal noise signal and the external noise signal, the sound signal (i.e., the internal noise signal and the external noise signal) can be labeled. The labeling can be done manually or by using automated tools. The labeling content includes, but is not limited to, voice activity detection (VAD), speaker recognition, sentiment analysis, etc.

[0068] After the audio signal is labeled, a bandpass filter can be applied to remove unwanted frequency components, such as low-frequency noise below the range of human hearing or high-frequency components above the sampling theorem limit; and to initially remove some obvious noise, such as fixed-frequency humming or other periodic interference; adjust the amplitude of the audio signal to ensure that all samples have similar energy levels for easier subsequent processing; and divide long audio streams into shorter time segments for more efficient processing and analysis.

[0069] After completing the above preprocessing, the following types of features can be extracted from the preprocessed audio signal: 1. Time-domain features: such as zero crossover rate, energy, zero-crossing rate, etc., reflecting the signal's time-varying characteristics; 2. Frequency-domain features: such as Mel-frequency cepstral coefficients (MFCC), linear predictive coding (LPC), etc., capturing the signal's spectral information; 3. Other advanced features: such as harmonic ratio, fundamental frequency, formants, etc., which help to describe the speech signal in more detail.

[0070] After feature extraction is completed, model training can be performed. First, an algorithm suitable for noise reduction can be selected. Specifically, a suitable machine learning or deep learning algorithm can be selected according to the task requirements, such as convolutional neural network (CNN), recurrent neural network (RNN), long short-term memory network (LSTM), etc.

[0071] The model is trained using the previously labeled and preprocessed dataset, ensuring that the dataset is large and diverse enough to cover all possible situations. During model training, the model hyperparameters can be adjusted using methods such as cross-validation to find the optimal configuration. The model's performance is then evaluated using an independent test set to ensure that it has strong generalization ability and can perform well on unseen data. At this point, the target AI model can be obtained.

[0072] Once the target AI model is obtained, real-time inference can be performed using it: firstly, the model can be deployed on the corresponding electronic devices to ensure efficient operation in resource-constrained environments.

[0073] Once deployed, noise cancellation can be achieved using a target AI model deployed on the electronic device: the microphone signal is used as a reference signal, and after the aforementioned processing steps, it enters an adaptive filter along with the audio signal output from the earpiece. The filter adjusts its weights based on the linear correlation between the two signals to optimize the filter, and the optimized filter simulates a signal as similar as possible to the actual interference. Finally, this interference signal is subtracted from the playback signal, thereby eliminating board vibration or feedback.

[0074] Noise is removed from the audio to be played based on its relevance.

[0075] After obtaining the interference signal, the analog interference signal can be subtracted from the audio to be played to obtain the digital audio signal after noise cancellation. Finally, the processed digital audio signal is converted into an analog signal and output through the earpiece.

[0076] In this embodiment, the internal noise signal generated by capacitor howling is acquired and used as a reference signal to cancel noise in the audio to be played. The audio to be played is the audio that needs to be emitted through the earpiece. Since the internal noise signal is generated by power supply ripple fluctuations, and the power supply ripple loop will also couple with the earpiece power supply loop at low frequency, causing low-frequency magnetic interference in the earpiece, the internal noise signal is correlated with both low-frequency magnetic interference and capacitor howling. Both low-frequency magnetic interference and capacitor howling will generate noise in the audio to be played. Thus, the internal noise signal is also correlated with the noise. Based on the internal noise signal, the purpose of effectively canceling noise in the audio to be played can be achieved. This achieves the technical effect that the earpiece can overcome the noise caused by low-frequency magnetic interference and capacitor howling, thereby solving the problem of low-frequency magnetic interference and capacitor howling interfering with the audio played by the earpiece in related technologies.

[0077] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0078] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM (Read-Only Memory) / RAM (Random Access Memory), magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0079] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0080] If the integrated units in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in the aforementioned computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause one or more computer devices (which may be personal computers, servers, or network devices, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0081] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0082] In the several embodiments provided in this application, it should be understood that the disclosed client can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0083] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the solution provided in this embodiment, depending on actual needs.

[0084] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0085] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A handset noise reduction device, characterized in that, include: An internal noise monitoring microphone is used to monitor internal noise signals, which are noises generated based on the circuit board structure or during signal transmission. The noise processing module is used to perform noise cancellation processing on the audio to be played before the earpiece plays the audio, referring to the internal noise signal and based on a preset noise cancellation algorithm. A noise reference circuit is used to acquire the internal noise signal from the internal noise monitoring microphone, transmit the internal noise signal to the noise processing module, and transmit the noise-cancelled audio to be played to the earpiece.

2. The earpiece noise reduction device according to claim 1, characterized in that, Also includes: An external noise monitoring microphone is used to monitor external noise signals in the environment. The noise processing module is used to perform noise cancellation processing on the audio to be played before the earpiece plays the audio, referring to the internal noise signal and the external noise signal, based on a preset noise cancellation algorithm. The noise reference circuit is used to acquire the internal noise signal from the internal noise monitoring microphone and the external noise signal from the external noise monitoring microphone, transmit the internal noise signal and the external noise signal to the noise processing module, and transmit the noise-cancelled audio to be played to the earpiece.

3. The earpiece noise reduction device according to claim 2, characterized in that, The external noise monitoring microphone includes: a first external noise monitoring microphone and a second external noise monitoring microphone; The first external noise monitoring microphone and the second external noise monitoring microphone are used to monitor external noise signals from at least two different environmental locations.

4. The earpiece noise reduction device according to claim 2, characterized in that, The noise processing module includes: A real-time inference unit is used to input the internal noise signal and the external noise signal into a pre-trained target AI model, and infer the correlation between the internal noise signal, the external noise signal and the earpiece noise, wherein the target AI model is used to implement the noise cancellation algorithm; A noise cancellation unit is used to cancel noise in the audio to be played according to the correlation.

5. An electronic device, characterized in that, Includes the earpiece noise reduction device as described in any one of claims 1 to 4.

6. The electronic device according to claim 5, characterized in that: The distance between the internal noise monitoring microphone and the earpiece of the electronic device is within a preset distance range.

7. The electronic device according to claim 6, characterized in that: The internal noise monitoring microphone is located near the target decoupling capacitor, which is the decoupling capacitor with the largest voltage ripple fluctuation within a preset distance range of the earpiece.

8. The electronic device according to claim 5, characterized in that: The first external noise monitoring microphone is located on the top of the electronic device; The second external noise monitoring microphone is located at the bottom of the electronic device.

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