Signal Processing Circuit for Bone Vibration Detection and Bone Vibration Sensing Structure

Abstract

The present invention provides a signal processing circuit for bone vibration detection and a bone vibration sensing structure. The signal processing circuit includes a signal input module, a digital signal processing module, and a microcontroller module. The digital signal processing module is electrically connected to the signal input module. The purpose is to make the microcontroller module independent of the digital signal processing module and electrically connect the microcontroller module to the digital signal processing module, so as to receive the target digital signal processed by the digital signal processing module and detect whether the target digital signal is a voice signal, and generate an interrupt level signal when it is detected that the target digital signal is a voice signal and its energy exceeds a preset threshold. By adopting the technical solution provided by the present invention, it has strong flexibility, can construct different software processing methods for the microcontroller module for different application scenarios, and can reduce the power consumption of the whole machine.

Description

Technical Field

[0001] The present invention relates to the technical field of bone conduction, and in particular to a signal processing circuit for bone vibration detection and a bone vibration sensing structure. Background Art

[0002] The principle of a traditional air-conduction microphone is to collect sound wave signals through air as a propagation medium and convert the sound wave signals into electrical signals. Since the air-conduction microphone needs to rely on air as a propagation medium, background noise in the air is likely to be collected as effective sound wave signals, resulting in noise pollution and poor listening effects for the recipient. On this basis, with the development of bone conduction technology, more and more bone conduction devices have emerged. For example, bone conduction headphones contain bone conduction microphones. Among them, the bone conduction microphone is used for receiving sound, that is, collecting sound, which plays the same role as a traditional air-conduction microphone. However, its principle is different from that of a traditional air-conduction microphone. The principle is that during the process of a user speaking, facial bones will vibrate, and it directly collects the vibration signals transmitted by the bones to record the sound (audio signal) when the user is speaking. For example, in a bone conduction microphone, sensors coupled to the user's scalp, jaw, cheeks, etc. convert mechanical vibrations from corresponding bones (such as the cheekbone and jawbone) into electrical signals representing the user's speech. Therefore, compared with a traditional air-conduction microphone, the bone conduction microphone has better noise reduction effects.

[0003] Bone conduction can also be used to transmit sound to an object. That is, an electrical signal can be converted into vibrations, which are transmitted to the bones of the object's skull. The vibrations are transmitted to the inner ear of the subject, thereby transmitting sound to the subject while bypassing the subject's eardrum.

[0004] Bone vibration sensors require high isolation, that is, vibrations generated by the vocal cords when the wearer speaks are transmitted to the device through the bones, and sound signals generated from the outside are not sensed when they are transmitted to the device through the air. In the prior art, due to the bone vibration sensor using a MEMS device structure, there are air holes on its metal shell, and external sound waves can cause vibrations of the sensitive film of the device, so the isolation is relatively poor. Summary of the Invention

[0005] The purpose of the present invention is to provide a signal processing circuit for bone vibration detection to output an interrupt level signal. Another purpose of the present invention is to provide a microelectromechanical system bone vibration sensing structure with higher isolation from external ambient sounds.

[0006] In a first aspect, the present invention provides a signal processing circuit for bone vibration detection. The signal processing circuit is coupled to a bone vibration sensor. The signal processing circuit includes: a signal input module configured to receive at least one set of input signals from the bone vibration sensor and convert the at least one set of input signals into corresponding at least one set of digital signals; a digital signal processing module electrically connected to the signal input module, configured to receive and process the at least one set of digital signals, determine a set of target digital signals based on the processing result, and output the target digital signals to a microcontroller module; and a microcontroller module electrically connected to the digital signal processing module, configured to receive the target digital signals, detect whether the target digital signals are voice signals, and generate an interrupt level signal when it is detected that the target digital signals are voice signals and their energy exceeds a preset threshold, so as to trigger a preset subsequent operation.

[0007] Further, the signal input module receives two sets of input signals corresponding to two mutually perpendicular vibration axes from the bone vibration sensor, and converts the two sets of input signals into corresponding two sets of digital signals. Wherein, the digital signal processing module is configured to control the working mode of the signal input module according to preset configuration information, and the signal input module outputs one or more of the two sets of digital signals to the digital signal processing module based on the current working mode.

[0008] Further, the working modes include a biaxial output mode and a uniaxial output mode.

[0009] Further, when the signal input module operates in the biaxial output mode, the signal input module parallel-transmits the two sets of digital signals corresponding to the two mutually perpendicular vibration axes to the digital signal processing module, and the digital signal processing module outputs the set of digital signals with the largest amplitude as the target digital signals to the microcontroller module.

[0010] Further, when the signal input module operates in the uniaxial output mode, the signal input module only transmits a set of digital signals corresponding to one of the two mutually perpendicular vibration axes in the two sets of digital signals indicated by the configuration information to the digital signal processing module, and the digital signal processing module outputs this set of digital signals as the target digital signals to the microcontroller module.

[0011] Further, the microcontroller module includes a voice recognition unit in the form of a software module, and the voice recognition unit is configured to detect whether the target digital signals are voice signals.

[0012] Optionally, the voice recognition unit detects whether the target digital signal is a voice signal in the following manner: obtaining the sum of squares of the intensities of all the target digital signals received within a preset time period; determining whether the sum of squares is greater than a preset threshold; and determining that the target digital signal is a voice signal when it is determined that the sum of squares is greater than the preset threshold.

[0013] Optionally, the voice recognition unit detects whether the target digital signal is a voice signal in the following manner: using the intensity values of all the target digital signals received within a preset time period as input variables, performing a fast Fourier transform and a preset preprocessing operation on the input variables to obtain a target matrix; solving for eigenvectors based on the target matrix, and determining whether the eigenvectors are voice eigenvectors; and determining that the target digital signal is a voice signal when it is determined that the eigenvectors are voice eigenvectors.

[0014] Further, the signal input module includes two first conversion modules, two amplifiers, and two second conversion modules; the first conversion module is configured to convert the corresponding capacitance signal into a voltage signal and then output it; the two amplifiers are respectively electrically connected to the corresponding first conversion module, and are configured to amplify the signal output by the corresponding first conversion module and then output it; the second conversion module is electrically connected to the corresponding amplifier, and is configured to convert the analog signal output by the corresponding amplifier into a digital signal and then output it.

[0015] Further, the microcontroller module further includes a memory and an interrupt output interface; the memory is configured to receive and store the target digital signal, and output the target digital signal according to a preset pattern; the voice recognition unit is respectively electrically connected to the memory and the interrupt output interface, the voice recognition unit receives and detects the target digital signal from the memory, and outputs the interrupt level signal through the interrupt output interface when it is determined that the target digital signal is a voice signal.

[0016] Further, the microcontroller module further includes a communication interface and an audio output interface, and the digital signal processing module is respectively electrically connected to the communication interface and the audio output interface.

[0017] In a second aspect, the present invention provides a bone vibration sensing structure, the bone vibration sensing structure includes a bone vibration sensor and the signal processing circuit according to any one of the above, wherein the signal processing circuit is coupled to the bone vibration sensor, and the vibration sensitive element of the bone vibration sensor is covered by a silicon cover.

[0018] The present invention provides a signal processing circuit for bone vibration detection and a bone vibration sensing structure. The signal processing circuit includes a signal input module, a digital signal processing module, and a microcontroller module. The digital signal processing module is electrically connected to the signal input module. The purpose is to make the microcontroller module independent of the digital signal processing module and electrically connect the microcontroller module to the digital signal processing module, so as to receive the target digital signal processed by the digital signal processing module and detect whether the target digital signal is a voice signal, and generate an interrupt level signal when it is detected that the target digital signal is a voice signal and its energy exceeds a preset threshold.

[0019] Furthermore, the microcontroller module includes a voice recognition unit in the form of a software module. The voice recognition unit is used to detect whether the target digital signal is a voice signal. By adopting the technical solution provided by the present invention, it has strong flexibility, can construct different software processing methods for the microcontroller module according to different application scenarios, and can reduce the power consumption of the whole machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other embodiments can also be obtained based on these drawings.

[0021] Figure 1 It is a schematic diagram of the device sensitive axes of a two-axis bone vibration sensor provided by an embodiment of the present invention;

[0022] Figure 2 It is a block diagram of the signal processing circuit for bone vibration detection provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0024] The terms "first", "second", etc. in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments described here can be implemented in an order different from that shown or described here.

[0025] Figure 1 It is a schematic diagram of the device sensitive axis of the two-axis bone vibration sensor provided by an embodiment of the present invention. Figure 2 It is a structural block diagram of a signal processing circuit for bone vibration detection provided by an embodiment of the present invention.

[0026] Please refer to Figure 1 and Figure 2 An embodiment of the present invention provides a signal processing circuit 100 for bone vibration detection. The signal processing circuit 100 can be coupled with a bone vibration sensor 50. The signal processing circuit 100 includes: a signal input module 10, a digital signal processing module 20, and a microcontroller module 30.

[0027] The signal input module 10 is configured to receive at least one set of input signals from the bone vibration sensor 50 and convert the at least one set of input signals into corresponding at least one set of digital signals; the digital signal processing module 20 is electrically connected to the signal input module 10, and is configured to receive and process the at least one set of digital signals, determine a set of target digital signals according to the processing results, and output the target digital signals to the microcontroller module 30; the microcontroller module 30 is electrically connected to the digital signal processing module 20, and is configured to receive the target digital signals and detect whether the target digital signals are voice signals, and generate an interrupt level signal when it is detected that the target digital signals are voice signals and their energy exceeds a preset threshold, so as to trigger a preset subsequent operation.

[0028] In an embodiment of the present invention, the input signals pass through the signal processing circuit 100, and finally a relatively satisfactory output signal can be obtained. Coupling means that in an electronic circuit, the output signal of the previous-stage circuit (or signal source) is sent to the subsequent-stage circuit (or load). For example, the bone vibration sensor 50 outputs continuous capacitance signals.

[0029] By using the signal processing circuit provided by an embodiment of the present invention, the signal processing circuit can be coupled with a bone vibration sensor. The digital signal processing module is electrically connected to the signal input module. The purpose is to make the microcontroller module independent of the digital signal processing module and electrically connect the microcontroller module to the digital signal processing module, so as to receive the target digital signals processed by the digital signal processing module and detect whether the target digital signals are voice signals, and generate an interrupt level signal when it is detected that the target digital signals are voice signals and their energy exceeds a preset threshold.

[0030] The digital signal processing module 20 is used to detect and process the received input signal. Further, it includes signal link selection, gain adjustment, decimation filter, TDM (Time-Division Multiplexing) data format conversion, etc. based on preset configuration information. In some embodiments, the digital signal processing module 20 is respectively connected to a memory, a communication interface, and a TDM interface.

[0031] Exemplarily, in the embodiment of the present invention, the bone vibration sensor 50 is a two-axis vibration sensor. One end electrode of the bone vibration sensor 50 is electrically connected to the power management module for power supply. The two-axis vibration sensor includes two vibration-sensitive axes perpendicular to each other. One of the vibration-sensitive axes is parallel to the package plane, and the other vibration-sensitive axis is orthogonal to the package plane. Exemplarily, the bone vibration sensor 50 can be a two-axis vibration sensor composed of an X vibration axis and a Z vibration axis to sense external vibration signals respectively. Among them, MEMS refers to Micro Electro Mechanical System (Micro-Electro-Mechanical System). The output structure of the MEMS device composed of two-axis vibration sensors can make the vibration-sensitive elements in the two-axis vibration sensors be covered by the silicon cover as much as possible, so that the external ambient sound signal can be isolated by the silicon cover and will not affect the vibration-sensitive elements in the two-axis vibration sensors. Therefore, the isolation degree of the external ambient sound is higher. On the other hand, the output structure of the MEMS device composed of two-axis vibration sensors is also convenient for assembly, and the directional requirements for the placement of the two-axis vibration sensors are relatively low. Compared with the three-axis vibration sensor, the area of the MEMS device can be saved, and therefore the cost is also relatively low.

[0032] Optionally, the signal processing circuit 100 further includes a voltage regulation module, a reset start-up - upper module, etc.

[0033] The signal input module 10 receives two sets of input signals corresponding to two mutually perpendicular vibration axes from the bone vibration sensor 50. For example, one set of input signals is the first vibration signal output by the bone vibration sensor 50 on the X vibration axis, and the other set of input signals is the second vibration signal output by the bone vibration sensor 50 on the Z vibration axis. The signal input module 10 includes two first conversion modules 11, two amplifiers 12, and two second conversion modules 13; the first conversion module 11 is used to convert the corresponding capacitance signal into a voltage signal and then output it; the two amplifiers 12 are respectively electrically connected to the corresponding first conversion modules 11, and are used to amplify the signals output by the corresponding first conversion modules 11 and then output them; the second conversion module 13 is electrically connected to the corresponding amplifier 12, and is used to convert the analog signal output by the corresponding amplifier 12 into a digital signal and then output it.

[0034] Specifically, the first conversion module 11 is a C / V conversion module (Capacitance to Voltage), which is used to convert the capacitance signal into a voltage signal and then output it. The amplifier 12 is used to amplify the signal transmitted by the C / V conversion. The second conversion module 13 is an analog-to-digital conversion module (ADC, Analog to Digital Converter), which is used to convert the analog signal into a digital signal, and the digital signal can be processed by the digital signal processing module 20. In some embodiments, there are many types of integrated analog-to-digital converters, including 8-bit, 10-bit, and 16-bit analog-to-digital converters. An n-bit analog-to-digital converter means that this analog-to-digital converter has a total of 2 to the nth power of scales. Exemplarily, an 8-bit analog-to-digital converter outputs 256 numbers from 0 to 255, that is, a data scale of 2 to the 8th power.

[0035] The signal input module 10 converts the two sets of input signals into corresponding two sets of digital signals respectively through the first conversion module 11, the amplifier 12, and the second conversion module 13 on two signal links. Among them, the digital signal processing module 20 is used to control the working mode of the signal input module 10 according to the preset configuration information, and the signal input module 10 outputs one or more of the two sets of digital signals to the digital signal processing module 20 based on the current working mode.

[0036] Optionally, the working mode includes a biaxial output mode and a uniaxial output mode.

[0037] Exemplarily, when the signal input module 10 operates in the biaxial output mode, the signal input module 10 parallelly transmits the two sets of digital signals corresponding to the two mutually perpendicular vibration axes to the digital signal processing module 20, and the digital signal processing module 20 outputs the set of digital signals with the largest amplitude as the target digital signal to the microcontroller module 30. In another implementation, at this time, the two sets of vibration signals output by the two mutually perpendicular vibration axes can be simultaneously input to the signal input module 10 for processing, and two sets of digital signals transmitted in parallel are generated after processing. Since there will be no signal interference between these two sets of digitally transmitted signals, this output mode is more flexible and also facilitates further processing and calculation in the digital processing module 20 later.

[0038] Exemplarily, when the signal input module 10 operates in the uniaxial output mode, the signal input module 10 only transmits a set of digital signals corresponding to one of the two mutually perpendicular vibration axes in the two sets of digital signals indicated by the configuration information to the digital signal processing module 20, and the digital signal processing module 20 outputs this set of digital signals as the target digital signal to the microcontroller module 30.

[0039] In the embodiment of the present invention, the microcontroller module 30 includes a voice recognition unit in the form of a software module, and the voice recognition unit is used to detect whether the target digital signal is a voice signal.

[0040] The microcontroller module 30 further includes a memory and an interrupt output interface; the memory is used to receive and store the target digital signal, and output the target digital signal according to a preset mode; the voice recognition unit is electrically connected to the memory and the interrupt output interface respectively. The voice recognition unit receives and detects the target digital signal from the memory, and outputs the interrupt level signal through the interrupt output interface when it is determined that the target digital signal is a voice signal.

[0041] Exemplarily, the voice recognition unit includes a VAD module (Voice Activity Detection), which is used to recognize voice signals. When the device recognizes a voice signal with a certain energy, that is, when the energy of the voice signal exceeds the threshold of the energy of the set voice signal, an interrupt level signal is output at the interrupt output interface (interrupt pin). The voice recognition unit in the form of a software module is mainly reflected in that the algorithm of the VAD module is not hardware-integrated and solidified, but is set by writing software methods in the microcontroller module 30. The advantage of this way of setting by writing software methods compared with the hardware-integrated and solidified VAD algorithm is strong flexibility. Different software processing methods can be constructed for different application scenarios. In addition, it can also enhance the accuracy of voice recognition and is helpful for expanding the functions of the VAD module, such as implementing functions such as keyword voice recognition. As a result, the overall power consumption brought is relatively low. Using a bone vibration sensing structure provided by the present invention greatly improves the application range of the signal processing circuit for bone vibration detection, and has a lower use cost and is more economical and energy-saving.

[0042] The memory is, for example, a FIFO (First Input First Output) memory, that is, a first-in-first-out data buffer. In the embodiment of the present invention, each sample is 2 bytes and stores an acceleration data. Similarly, the FIFO can be configured into a single-axis mode and a dual-axis mode. As a data storage unit electrically connected to the VAD (Voice Activity Detection) module inside the microcontroller module 30, when the FIFO is full, the VAD module performs signal analysis to identify whether it is a voice signal, and when the energy of the recognized voice signal exceeds the threshold of the energy of the set voice signal, an interrupt level signal is output at the interrupt output interface (interrupt pin) of the microcontroller module 30.

[0043] The microcontroller module 30 further includes a communication interface, an audio output interface, etc., and the digital signal processing module is electrically connected to the communication interface, the audio output interface, etc. respectively.

[0044] Exemplarily, in one implementation, the voice recognition unit detects whether the target digital signal is a voice signal in the following manner: obtaining the sum of the squares of the intensities of all the target digital signals received within a preset time period; determining whether the sum of the squares is greater than a preset threshold; and in the case where it is determined that the sum of the squares is greater than the preset threshold, determining that the target digital signal is a voice signal.

[0045] Exemplarily, in another embodiment, the voice recognition unit detects whether the target digital signal is a voice signal in the following manner: taking the intensity values of all the target digital signals received within a preset time period as input variables, and performing a fast Fourier transform and a preset preprocessing operation on the input variables to obtain a target matrix; solving an eigenvector based on the target matrix, and determining whether the eigenvector is a voice eigenvector; and determining that the target digital signal is a voice signal when it is determined that the eigenvector is a voice eigenvector.

[0046] As can be seen from the above, in the signal processing circuit for bone vibration detection provided by the embodiments of the present invention, the signal processing circuit is coupled to a bone vibration sensor, and the digital signal processing module and the signal input module are electrically connected. The purpose is to make the microcontroller module independent of the digital signal processing module and electrically connect the microcontroller module to the digital signal processing module, so as to receive the target digital signal processed by the digital signal processing module and detect whether the target digital signal is a voice signal, and generate an interrupt level signal when it is detected that the target digital signal is a voice signal and its energy exceeds a preset threshold.

[0047] Furthermore, the microcontroller module includes a voice recognition unit in the form of a software module, and the voice recognition unit is used to detect whether the target digital signal is a voice signal. It has strong flexibility, can construct different software processing methods for the microcontroller module for different application scenarios, and can reduce the power consumption of the whole machine. Using the bone vibration sensing structure provided by the present invention greatly expands the application scope of the signal processing circuit for bone vibration detection, and has a lower usage cost and is more economical.

[0048] The embodiments of the present invention also provide a bone vibration sensing structure, which includes a bone vibration sensor and the signal processing circuit according to any one of the above. Wherein, the signal processing circuit is coupled to the bone vibration sensor, and the vibration sensitive element of the bone vibration sensor is covered by a silicon cover body.

[0049] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0050] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A signal processing circuit for bone vibration detection, the signal processing circuit being coupled to a bone vibration sensor, characterized in that, The signal processing circuit includes: A signal input module, which is used to receive at least one set of input signals from the bone vibration sensor and convert the at least one set of input signals into corresponding at least one set of digital signals; A digital signal processing module, which is electrically connected to the signal input module, used to receive and process the at least one set of digital signals, determine a set of target digital signals according to the processing results, and output the target digital signals to the microcontroller module; The digital signal processing module is used to control the working mode of the signal input module according to the preset configuration information; the working mode includes a biaxial output mode and a uniaxial output mode; when the signal input module works in the biaxial output mode, the signal input module will parallelly transmit two sets of digital signals corresponding to two mutually perpendicular vibration axes to the digital signal processing module, and the digital signal processing module will output the set of digital signals with the largest amplitude as the target digital signals to the microcontroller module; A microcontroller module, which is independent of the digital signal processing module; the microcontroller module is electrically connected to the digital signal processing module, used to receive the target digital signals and detect whether the target digital signals are voice signals, and generate an interrupt level signal when it is detected that the target digital signals are voice signals and their energy exceeds a preset threshold to trigger a preset subsequent operation.

2. The signal processing circuit according to claim 1, wherein The signal input module receives two sets of input signals corresponding to two mutually perpendicular vibration axes from the bone vibration sensor and converts the two sets of input signals into corresponding two sets of digital signals; Wherein, the signal input module outputs one or more of the two sets of digital signals to the digital signal processing module based on the current working mode.

3. The signal processing circuit according to claim 1, wherein When the signal input module works in the uniaxial output mode, the signal input module only transmits a set of digital signals corresponding to one of the two mutually perpendicular vibration axes indicated by the configuration information to the digital signal processing module, and the digital signal processing module outputs this set of digital signals as the target digital signals to the microcontroller module.

4. The signal processing circuit according to any one of claims 1-3, characterized in that, The microcontroller module includes a voice recognition unit in the form of a software module, and the voice recognition unit is used to detect whether the target digital signals are voice signals.

5. The signal processing circuit according to claim 4, wherein The voice recognition unit detects whether the target digital signals are voice signals in the following manner: Calculate the sum of the squares of the intensities of all the target digital signals received within a preset time period; Determine whether the sum of the squares is greater than a preset threshold; When it is determined that the sum of the squares is greater than the preset threshold, determine that the target digital signals are voice signals.

6. The signal processing circuit according to claim 4, wherein The voice recognition unit detects whether the target digital signals are voice signals in the following manner: Take the intensity values of all the target digital signals received within a preset time period as input variables, and perform a fast Fourier transform and a preset preprocessing operation on the input variables to obtain a target matrix; Solve the eigenvector based on the target matrix, and determine whether the eigenvector is a voice eigenvector; When it is determined that the eigenvector is a voice eigenvector, determine that the target digital signal is a voice signal.

7. The signal processing circuit according to claim 2, wherein The signal input module includes two first conversion modules, two amplifiers and two second conversion modules; The first conversion module is configured to convert the corresponding capacitance signal into a voltage signal and then output it; The two amplifiers are respectively electrically connected to the corresponding first conversion module, and are configured to amplify the signal output by the corresponding first conversion module and then output it; The second conversion module is electrically connected to the corresponding amplifier, and is configured to convert the analog signal output by the corresponding amplifier into a digital signal and then output it.

8. The signal processing circuit according to claim 4, wherein The microcontroller module further includes a memory and an interrupt output interface; The memory is configured to receive and store the target digital signal, and output the target digital signal according to a preset mode; The voice recognition unit is respectively electrically connected to the memory and the interrupt output interface. The voice recognition unit receives and detects the target digital signal from the memory, and outputs the interrupt level signal through the interrupt output interface when it is determined that the target digital signal is a voice signal.

9. The signal processing circuit according to claim 8, wherein, The microcontroller module further includes a communication interface and an audio output interface, and the digital signal processing module is respectively electrically connected to the communication interface and the audio output interface.

10. A bone vibration sensing structure, characterized in that, The bone vibration sensing structure includes a bone vibration sensor and the signal processing circuit according to any one of claims 1-9, wherein the signal processing circuit is coupled to the bone vibration sensor, and the vibration sensitive element of the bone vibration sensor is covered by a silicon cover.

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