Ear canal noise reduction compensation system, ear canal noise reduction compensation method, and computer program product

Abstract

An ear canal noise reduction compensation system, method and computer program product, comprising: a speaker for being driven by an audio to transmit sound into an ear canal of a user; an in-ear microphone for receiving a reflected sound within the ear canal of the user to convert the reflected sound into an electrical signal; a wireless transceiver module for receiving the electrical signal converted from the in-ear microphone; an electronic device for receiving the electrical signal transmitted from the wireless transceiver module through a wireless transmission network, wherein the electronic device calculates a sound wave energy difference between the in-ear microphone and an eardrum based on the electrical signal and by an artificial intelligence technology, generates compensated filter parameters associated with the ear canal of the user based on the sound wave energy difference, transmits the compensated filter parameters to a feedback filter through the wireless transmission network and the wireless transceiver module, and generates compensated energy of a reverse wave within the ear canal in a frequency response by the compensated filter parameters.

Description

Technical Field

[0001] This invention relates to an audio compensation technology, and more particularly to an earphone device, ear canal noise reduction compensation system, method, and computer program product that automatically compensates for reverse wave energy in various frequency bands. Background Technology

[0002] As headphones continue to evolve, various internal driver units have also been developed. Although there have been no major changes in the basic principles, the actual structures that produce sound are quite different. Each type has its own background for development and its own advantages and disadvantages.

[0003] Research indicates that the frequency response of the audio processing chip directly affects the user's listening experience. Currently, TWS earbuds adjust the frequency response using DSP units for compensation processing across various frequency bands. The precision of this frequency adjustment is affected by the sampling frequency of the DSP unit (i.e., a higher sampling rate results in more precise frequency adjustment). However, increasing the sampling rate directly increases the power consumption of the DSP chip, significantly reducing the user's usage time with the same battery capacity.

[0004] In addition, when performing real ear measurements, the probe needs to be inserted near the tympanic membrane in the real ear (e.g., the tip of the probe is about 5mm away from the tympanic membrane) to confirm how much sound can actually be heard in the ear canal and the quality of the sound in the ear canal. However, using the probe insertion measurement requires the assistance of a professional (such as a professional sound engineer), which is extremely inconvenient.

[0005] Furthermore, when using an active noise cancellation (ANC) architecture to adjust compensation parameters, it is traditionally necessary to dynamically adjust multiple filters (e.g., filter type, fc, fc1, Q) or filter coefficients (e.g., b0, b1, b2…a0, a1…) to obtain the frequency response and achieve filter parameter compensation. If the frequency response is obtained by dynamically adjusting the filter coefficients, there will be an extremely high dimensionality that needs to be adjusted, making it impossible to quickly and accurately set the filter coefficients that generate the reverse wave.

[0006] Furthermore, the feedback (FB) filters used in current active noise cancellation chips only eliminate environmental noise in the ear canal, without taking into account the characteristics of the user's ear canal, appropriately adjusting the energy and frequency response of the reverse wave, and improving the noise cancellation effect in the ear canal, that is, effectively reducing the interference caused by leakage noise and own voice in the ear canal.

[0007] The above are some of the main problems encountered in the current technical field. Therefore, based on the above reasons, how to provide an ear canal device and ear canal noise reduction compensation technology that can effectively solve the above problems without requiring a probe transducer (i.e., a probe microphone), without being limited to a professional hearing space (such as a listening room) for real-ear measurement and analysis, and without the assistance of professionals (such as professional sound engineers) has become an urgent issue to be addressed by the industry.

[0008] In addition, there is a need for an ear canal device and ear canal noise reduction technology that can effectively reduce the power consumption and latency of DSP chips and provide accurate, real-time, automated and customized earphones for users in the current real environment (such as commercially available headphones, ANC headphones, TWS headphones, hearing aids, hearing aids or hearing-aiding headphones, glasses and other hearing devices or equipment), and greatly reduce the dimensions that need to be adjusted, so as to quickly and accurately set the filter compensation coefficient of the feedback filter. This has become an urgent issue for the industry to solve. Summary of the Invention

[0009] To address the aforementioned technical problems or provide related benefits, the present invention provides an ear canal noise reduction compensation system, comprising: a speaker for driving sound through audio signals to transmit sound into a user's ear canal; an in-ear microphone for receiving reflected sound from the user's ear canal and converting the reflected sound into an electrical signal; a wireless transmission and reception module for receiving the electrical signal converted from the in-ear microphone; and an electronic device for receiving the electrical signal transmitted from the wireless transmission and reception module via a wireless transmission network. The electronic device calculates the sound wave energy difference between the in-ear microphone and the eardrum based on the electrical signal and using artificial intelligence technology, and generates compensation filter parameters associated with the user's ear canal based on the sound wave energy difference. The compensation filter parameters are then transmitted to a feedback filter via the wireless transmission network and the wireless transmission and reception module, thereby generating compensation energy in the frequency response of the reflected wave within the ear canal through the compensation filter parameters.

[0010] The present invention also provides an ear canal noise reduction compensation method, comprising the following steps: driving sound through a speaker via audio signal to transmit sound into the user's ear canal; receiving reflected sound from the user's ear canal via an in-ear microphone, and converting the reflected sound into an electrical signal; receiving the electrical signal converted from the in-ear microphone via a wireless transmission and reception module connected to the in-ear microphone; and receiving the electrical signal transmitted from the wireless transmission and reception module via a wireless transmission network by an electronic device, wherein the electronic device calculates the sound wave energy difference between the in-ear microphone and the eardrum based on the electrical signal and using artificial intelligence technology, generates compensation filter parameters associated with the user's ear canal based on the sound wave energy difference, transmits the compensation filter parameters to a feedback filter via the wireless transmission network and the wireless transmission and reception module, and then generates compensation energy in the frequency response of the reverse wave in the ear canal through the compensation filter parameters.

[0011] The present invention also provides a computer program product for loading a program via a computer to execute the aforementioned ear canal noise reduction compensation method.

[0012] In addition, the present invention provides a computer-readable recording medium that stores instructions and can be executed by a computing device or computer via a processor and / or memory, so as to perform the aforementioned ear canal noise reduction compensation method when executing the computer-readable recording medium.

[0013] In one embodiment of the present invention, the audio message is a transparent audio message or a streaming audio message.

[0014] In one embodiment of the present invention, the audio signal is an audio signal with a frequency below 3KHz (i.e., 0Hz to 3KHz).

[0015] In one embodiment of the present invention, the feedback filter includes a storage module, wherein the compensated filter parameters are stored in the storage module.

[0016] In one embodiment of the present invention, the feedback filter is an active noise reduction feedback filter module.

[0017] In one embodiment of the present invention, the compensated filter parameters are transmitted and stored through the wireless transmission network to a device or apparatus with sound source processing capability, and the device or apparatus generates the compensated energy in the frequency response of the reverse wave in the ear canal through the compensated filter parameters.

[0018] In one embodiment of the present invention, the ear canal noise reduction compensation system uses the application of the electronic device in conjunction with wireless communication technology for real-time and / or synchronous processing.

[0019] Accordingly, the present invention provides filter parameters for compensating feedback filters at various frequencies using a user's headset and electronic devices via wireless communication technology in the current real-world environment. This solution eliminates the need for probe tube transducers (i.e., probe tube microphones), real-ear measurement analysis without being confined to a professional hearing space, and without the assistance of professionals. It also provides accurate, real-time, automated, and customizable user headsets, significantly reducing the dimensions that need adjustment, and enabling rapid and accurate setting of the coefficients of the filter parameters for feedback filter compensation. Attached Figure Description

[0020] Figure 1 This is a block diagram of the ear canal noise reduction compensation system and the ear canal of the present invention.

[0021] Figure 2 This is a schematic diagram of an embodiment of the headphone device of the present invention combined with an electronic device (e.g., a smart device).

[0022] Figure 3 This is a schematic diagram showing the reverse wave with and without considering ear canal characteristics, according to an embodiment of the present invention.

[0023] Figure 4 This is a schematic diagram illustrating the measurement of residual noise energy in the ear canal (with and without considering ear canal characteristics) according to an embodiment of the present invention.

[0024] Figure 5 According to an embodiment of the present invention, a method for acquiring log-power spectrum (LPS) is shown.

[0025] Figure 6 A schematic diagram of ANC reverse wave compensation gain conversion calculation considering differences in ear canal characteristics is shown according to an embodiment of the present invention.

[0026] Figure 7 This is a flowchart of the steps of the ear canal noise reduction compensation method of the present invention.

[0027] Explanation of main component symbols

[0028] 1. Headphone device

[0029] 11 speakers

[0030] 13 In-ear microphones

[0031] 15 Wireless Transmitter / Receiver Module

[0032] 17 Feedback Filter

[0033] 19 Reference Microphone

[0034] 2 Electronic devices

[0035] 21 Processing Module

[0036] 31 Window frame

[0037] 32 Discrete Fourier Transform (DFT)

[0038] 33 |·| 2

[0039] 34. Logarithm (log(·))

[0040] 40. The sound wave energy calculated from the reflected sound received by the in-ear microphone in the user's ear by the headphones.

[0041] 41. The gain (T) of the ANC reverse wave target frequency response curve provided during headphone production. f )

[0042] 42. Value of sound wave energy difference in the ear canal

[0043] 43 Personalized ANC Reverse Wave Compensation Gain (AG) f )

[0044] 44. The compensation gain is written into the corresponding feedback or feedforward filter in the ANC chip.

[0045] 5. Ear canal

[0046] Steps S10-S40. Detailed Implementation

[0047] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

[0048] It should be understood that the structures, proportions, sizes, etc., illustrated in the accompanying drawings of this specification are only used to complement the content disclosed in the specification for those skilled in the art to understand and read, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0049] Figure 1 This is a block diagram of the ear canal noise reduction compensation system and the ear canal 5 of the present invention. Figure 2 This is a schematic diagram of an embodiment of the headphone device 1 of the present invention combined with an electronic device 2 (e.g., a smart device).

[0050] According to one embodiment of the present invention, such as Figure 1 and Figure 2 As shown, the headphone device 1 of the present invention includes a speaker 11, an in-ear microphone 13, a wireless transmission and reception module 15, a feedback (FB) filter 17, and a reference microphone, which are electrically or otherwise connected to each other. The speaker 11 is driven by an audio signal to transmit sound into the user's ear canal 5; the in-ear microphone 13 receives reflected sound from the user's ear canal 5 and converts the reflected sound into an electrical signal; the wireless transmission and reception module 15 receives the electrical signal converted from the in-ear microphone 13; and the electronic device 2 receives the electrical signal transmitted from the wireless transmission and reception module 15 via a wireless transmission network.

[0051] like Figure 1 and Figure 2 As shown, the electronic device 2 calculates the sound wave energy difference between the in-ear microphone 13 and the eardrum (not shown) based on the electrical signal and artificial intelligence technology. Based on the sound wave energy difference, it generates a compensated filter parameter associated with the user's ear canal 5. The compensated filter parameter is transmitted to the feedback filter 17 through a wireless transmission network (not shown) and a wireless transmission and reception module 15. The compensated filter parameter generates the compensated energy of the reverse wave in the ear canal 5 in the frequency response.

[0052] Depend on Figure 1 and Figure 2 As can be seen from the following, the ear canal noise reduction compensation system of the present invention can accurately calculate the reverse wave energy on the user's eardrum by combining the in-ear microphone 13 in the earphone device 1 and the electronic device 2 with artificial intelligence and acoustic reflection technology, effectively enhancing the technical efficacy of the active noise cancellation (ANC) architecture.

[0053] In one embodiment of the present invention, the audio signal may be transparent audio or streaming audio. In another embodiment of the present invention, the audio signal may be audio with a frequency below 3kHz (i.e., 0Hz to 3kHz), but the present invention is not limited thereto. Furthermore, the audio signal may also be mixed audio.

[0054] In one embodiment of the present invention, the above-mentioned compensated filter parameters are the compensated filter parameters of the feedback filter 17 in each frequency of active noise reduction.

[0055] In one embodiment of the present invention, the feedback filter 17 includes a storage module (not shown), wherein the compensated filter parameters are stored in the storage module.

[0056] In one embodiment of the present invention, the feedback filter 17 is an active noise reduction feedback filter module.

[0057] In one embodiment of the present invention, the above-mentioned compensated filter parameters can also be transmitted and stored via a wireless transmission network (not shown) to a device or apparatus with sound source processing capability, and the device or apparatus can generate the compensated energy in the frequency response of the reverse wave in the ear canal 5 through the above-mentioned compensated filter parameters.

[0058] In one embodiment of the present invention, such as Figure 1 and Figure 2 As shown, the ear canal noise reduction compensation system of the present invention uses the application of the earphone device 1 and the electronic device 2 in conjunction with wireless communication technology to perform real-time and / or synchronous processing.

[0059] In another embodiment of the present invention, the above-mentioned compensated filter parameters may be the compensated filter parameters of the S(z) or APT filter at each frequency of active noise reduction.

[0060] Furthermore, the above modules can be software, hardware, or firmware. If they are hardware, they can be various circuits or hardware units with equivalent technologies that respectively implement the compensation of feedback filter parameters, wireless transmission and reception, and storage in each frequency. If they are software or firmware, they can be various firmware units that respectively perform the compensation of feedback filter parameters, wireless transmission and reception, and storage in each frequency. The ear canal noise reduction compensation system of the present invention includes ANC, but the present invention is not limited thereto, and all equivalent technologies are included herein.

[0061] With the ear canal noise reduction compensation system of the present invention, users do not need to use an additional probe tube transducer (i.e., probe tube microphone) to provide accurate, real-time, automated and customized headphone devices in the current real environment through the present invention and wireless communication technology.

[0062] In addition, the probe transducer is only used to measure the sound wave energy in the standard artificial ear, and the measurement data of the sound wave energy of the standard artificial ear is stored in a database, cloud server and / or electronic device, and the user does not need to use an additional probe transducer to measure the sound wave energy of the real ear.

[0063] Figure 3 This diagram shows the reverse waves with and without considering the characteristics of the ear canal. (Example) Figure 3 As shown, the energy and frequency response of the reverse wave without considering the characteristics of the ear canal are still far from the energy and frequency response of the most ideal reverse wave, while the energy and frequency response of the reverse wave considering the characteristics of the ear canal are very similar to the energy and frequency response of the most ideal reverse wave.

[0064] Figure 4This is a schematic diagram showing the measurement of residual noise energy in the ear canal (with and without considering ear canal characteristics) according to an embodiment of the present invention. The Y-axis is in dB and is presented in log units, while the X-axis is in Hz units. Only a portion of the content is shown for illustrative purposes.

[0065] Figure 4 Two scenarios were compared: one without considering ear canal characteristics (represented by solid lines), and the other using the method of this invention that considers ear canal characteristics (represented by dashed lines). Measurements were taken at the eardrum location (black line) and the in-ear microphone (Error Microphone) location (gray line) in both scenarios; lower dB values ​​represent better noise reduction performance. Figure 4 It can be clearly observed that, whether it is the measurement results of the eardrum position (black dashed line vs. black solid line) or the measurement results of the in-ear microphone position (gray dashed line vs. gray solid line), the residual noise energy using the method of considering ear canal characteristics of this invention (dashed line) is significantly lower than that without considering ear canal characteristics (solid line). This data confirms that the method of considering the user's ear canal characteristics proposed in this invention can effectively improve active noise cancellation performance and achieve a superior ear canal noise reduction effect.

[0066] Therefore, by Figure 4 It is evident that the residual noise energy considering ear canal characteristics is significantly lower than that without considering ear canal characteristics, and the residual noise energy measured at the eardrum is lower than that measured by the microphone inside the ear. Therefore, the ear canal noise reduction compensation system of the present invention, by combining earphone devices and electronic devices with artificial intelligence and acoustic reflection technology, can accurately calculate the reverse wave energy on the user's eardrum, effectively enhancing the technical efficacy of the active noise cancellation architecture.

[0067] The following sections provide detailed explanations of the calculation of the frequency response of electrical signals and the calculation of the compensation parameters for feedback filters using the compensation parameter transformation model.

[0068] Electrical signal Calculation of frequency response:

[0069] Figure 5 This demonstrates a method for capturing the log-power spectrum (LPS). In an embodiment of the invention, the transducer (Err.Mic) transmits the received electrical signal... First, the signal is transmitted to the APP for acoustic feature extraction, and then the electrical signal over a period of time is calculated using the log-power spectrum (LPS) method. The energy distribution in the signal. When the features are extracted, the input signal is subjected to a short-time Fourier transform (STFT) by calculating the discrete Fourier transform (DFT) 32 of each overlapping window frame 31, that is, the speech signal is converted from the time domain to the frequency domain by formula (1), as shown in formula (1) below:

[0070]

[0071] k = 0, 1, ..., L-1

[0072] Among them, Y t (l) represents the input signal (i.e., the electrical signal). In the time domain, for the l-th sample, Y f (k) represents the spectrum of the input signal, k is the frequency index, h(l) represents the Hamming window function, and the logarithmic power spectrum is defined as shown in formula (2):

[0073] Y l (k)=log|Y f (k)| 2 (2)

[0074] k = 0, 1, ..., K-1

[0075] Among them, Y l (k) represents the logarithmic power spectrum of the input signal, as shown in formula (2), for the spectrum Y of the input signal. f (k) proceed |·| 2 33, and take the logarithm (log(·))34 to obtain the electrical signal. Logarithmic power spectrum Y l (k).

[0076] ANC reverse wave energy compensation gain parameters are obtained using a compensated gain conversion model.

[0077] Figure 6 This diagram illustrates the ANC reverse wave compensation gain conversion calculation considering differences in ear canal characteristics. (See attached diagram.) Figure 6 As shown, the personalized ANC reverse wave compensation gain (AG) f )43 is mainly based on the gain (T) of the ANC reverse wave target frequency response curve provided during headphone production. f "41" and "the sound wave energy calculated from the reflected sound received by the in-ear microphone in the user's ear by the headphones" The value of the difference in sound wave energy in the ear canal (i.e., the "Delta" value) was calculated using a compensated gain conversion model. Here, T... f This section presents the predicted reverse wave target frequency response curves for the FF and FB filters in the ANC chip, without considering the characteristics of the user's ear canal. Subsequently, the calculated compensation gain is written into the corresponding FB (or FF) filter 44 in the ANC chip via wireless (or wired) transmission. Here, "f" represents the sampling frequency (Hz), and T... f D f AG f These represent sound energy (dBSPL) and sound pressure level (SPL).

[0078] The compensated gain conversion model calculates the energy (Y) of the reflected sound received by the in-ear microphone at the mobile phone terminal. l Following this, a personalized ear canal error prediction model (e.g., artificial intelligence algorithms, deep learning methods, machine learning methods, mathematical statistics, etc.) is used to predict the difference in sound wave energy between the user's ear canal and the standard artificial ear (i.e., the "Delta" value), in order to predict (T... f The above process can be used to train the model through a compensated gain conversion model architecture, and implemented through a target loss function (cost function), as shown in formula (3):

[0079]

[0080] Where N represents the number of ANC inverse wave filter gain parameters that the model will generate (obtain N groups), M represents the number of samples for training the model, and i represents the nth gain data point in the training.

[0081] When the compensated gain conversion model is trained, the error is backpropagated to update the model parameters and the parameter weights are adjusted to find the optimal compensation, as shown in formula (4):

[0082]

[0083] In one embodiment of the present invention, the headphone device employs active noise cancellation (ANC) technology. However, in different embodiments, the same, similar, or equivalent noise cancellation technologies may be applied, and the present invention is not limited thereto. In this embodiment, filter parameters (e.g., FF, FB, SZ, APT, etc.) can be set using information from "mechanical acoustic characteristics" and "auditory compensation prescription".

[0084] In one embodiment of the present invention, the filters described above may be feedforward (FF) filters, feedback (FB) filters, and audio gain compensation filter units (e.g., S(z) filters and APT filters). The feedforward (FF) filter receives the electrical signal from the reference microphone to eliminate external noise. In addition, the feedback (FB) filter receives the electrical signal from the error microphone (i.e., the error microphone converts noise in the ear canal into an electrical signal) to eliminate noise in the ear canal. The audio gain compensation filter units (e.g., S(z) filters and APT filters) receive appropriate target curves to appropriately adjust the electrical signals in each frequency band.

[0085] Since the ear canal noise reduction compensation system of the present invention is applicable to various intelligent devices, it enables the headphone device to compensate the filter parameters of the feedback filter in each frequency without the assistance of a professional in the current environment (e.g., residential house, outdoors, car, park, etc.).

[0086] In one embodiment of the present invention, the headphone device of the present invention may be a headphone (including but not limited to dynamic, balanced armature, piezoelectric, pneumatic, electrostatic, wired, and wireless headphone), a hearing aid, noise-canceling headphones, monitoring headphones, smart glasses, wearable devices, or combinations thereof.

[0087] Furthermore, the ear canal noise reduction compensation system of the present invention combines wireless communication technologies (such as Bluetooth, Wi-Fi, near-field communication (NFC), ultra-wideband (UWB), IEEE 802.15.4, etc.) with technologies such as compensation parameter conversion models to directly synchronize the user's real-time customized parameter compensation with the noise reduction module set in the same or a single chip for operation.

[0088] Furthermore, according to the above embodiments of the present invention, since the user uses their own device (e.g., various smart devices in conjunction with ANC earphones or TWS earphones) to perform parameter compensation of the feedback filter in various current real environments or real application environments (i.e., quiet or noisy environments).

[0089] In one embodiment of the present invention, the earphone device of the present invention is not limited to being performed in a listening room and does not require the assistance of professionals. In addition, the user does not need to use an additional probe transducer. The user can automatically, instantly and customize the earphone device by using their own device (e.g., earphone device, hearing aid, hearing aid, etc.) and by using electronic devices (e.g., smart devices) combined with compensation parameter conversion models and wireless communication technology.

[0090] Figure 7 The following is a flowchart of the ear canal noise reduction compensation method of the present invention, which is described in conjunction with the above embodiments. The method includes at least the following steps S10 to S40.

[0091] In step S10, the sound is transmitted to the user's ear canal by driving the speaker through audio signals.

[0092] In step S20, the reflected sound in the user's ear canal is received by the in-ear microphone, and the reflected sound is converted into an electrical signal.

[0093] In step S30, the electrical signal converted from the in-ear microphone is received by a wireless transmission and reception module connected to the in-ear microphone.

[0094] In step S40, the electronic device receives the electrical signal transmitted from the wireless transmission and reception module via a wireless transmission network. The electronic device calculates the sound wave energy difference between the in-ear microphone and the eardrum based on the electrical signal and artificial intelligence technology. Based on the sound wave energy difference, it generates compensating filter parameters associated with the user's ear canal. The compensating filter parameters are then transmitted to the feedback filter via the wireless transmission network and the wireless transmission and reception module. The compensating filter parameters are then used to generate compensating energy in the frequency response of the reverse wave in the ear canal.

[0095] In the above method flow, the feedback filter is set in the active noise cancellation chip in the headphone device.

[0096] Furthermore, in one embodiment of the present invention, ANC technology has been gradually applied to TWS earphones in the audio processing chip. It mainly generates the reverse wave signal through hardware circuitry and corresponding system parameters to achieve active noise cancellation. Since ANC technology can achieve extremely low latency (<20μS), in addition to the advantages of hardware implementation, its use of a very high sampling rate also addresses the challenge of latency. Therefore, in the ANC technology architecture, the present invention can appropriately provide the correct filter parameters to compensate for the feedback filter.

[0097] In summary, the ear canal noise reduction compensation system (including an earphone device and an electronic device) and ear canal noise reduction compensation method of the present invention, through active noise cancellation (ANC) technology combined with digital network technology and wireless transmission technology, can not only directly perform appropriate gain compensation at each frequency, but also enable the earphone device to accurately emit the same reverse wave as the current noise energy (which includes the resonance signal in the ear canal when the user speaks, i.e., interference generated by the user's own voice and leakage noise) (taking into account the characteristics of the ear canal) to effectively eliminate environmental noise in the ear canal. It has the functions of automation, immediacy and customization of the user's earphone device, so that the user's earphone device can hear clearer sound or better music.

[0098] In addition, the headphone device, electronic device and its ear canal noise reduction compensation system and method of the present invention take into account the ear canal characteristics of the user's frequency response through compensation parameter conversion model technology, so as to achieve the effect of automating, instantaneous and customizing the user's headphone device, so that the user's headphone device can listen to clearer sound or better music.

[0099] Furthermore, in one embodiment of the present invention, the compensation parameter conversion model can also automatically correct the compensation filter parameters of the feedback filter of the headphone device. The compensation parameter conversion model can be set in the headphone device, smart device, cloud or server, and the present invention is not limited thereto.

[0100] Furthermore, the headphone device, electronic device, and ear canal noise reduction compensation system and method of the present invention do not require dynamic range compression function (DRCF) and do not require dynamic adjustment of the parameters of the feedback filter.

[0101] Furthermore, in one embodiment of the present invention, a computer program product is provided, which executes one or more of the above-described methods after being loaded onto a computer. The computer program (product) can be stored on a recording medium or directly transmitted and provided over a network; that is, the computer program (product) is anything containing a computer-readable program and is not limited to any particular external form. The computer includes, but is not limited to, electronic devices with processors, such as servers. Moreover, the computer program product of the present invention executes the above-described content using the technical content (compensation parameter conversion model, etc.) of the device or its firmware or software technology, and can automatically store the feedback filter compensation parameters into the storage module of the feedback filter.

[0102] The present invention also provides a computer-readable recording medium, applicable to a computing device or computer having a processor and / or memory. The computer-readable recording medium stores instructions, and the computing device or computer can execute the computer-readable recording medium via the processor and / or memory to perform the aforementioned methods and / or content when executing the computer-readable recording medium. The computer-readable recording medium (e.g., hard disk, floppy disk, optical disk, USB flash drive) stores the computer program (product). In one embodiment, the computer-readable recording medium is a non-transitory computer-readable recording storage medium.

[0103] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify and alter the above embodiments without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be as set forth in the claims.

Claims

1. An ear canal noise reduction compensation system, comprising: A loudspeaker is used to drive sound through audio signals to transmit sound into a user's ear canal. An in-ear microphone is used to receive reflected sound from within the user's ear canal and convert the reflected sound into an electrical signal. A wireless transmission and reception module for receiving the electrical signal converted from the in-ear microphone; as well as An electronic device for receiving, via a wireless transmission network, the electrical signal transmitted from the wireless transmission / reception module. The electronic device calculates the sound wave energy difference between the in-ear microphone and the eardrum based on the electrical signal and artificial intelligence technology. Based on the sound wave energy difference, it generates a compensating filter parameter associated with the user's ear canal. The compensating filter parameter is transmitted to the feedback filter through the wireless transmission network and the wireless transmission and reception module. The compensating filter parameter is then used to generate the compensating energy of the reverse wave in the ear canal in the frequency response.

2. The ear canal noise reduction compensation system as described in claim 1, wherein, This message is either transparent or streaming.

3. The ear canal noise reduction compensation system as described in claim 1, wherein, This audio signal is a frequency below 3kHz.

4. The ear canal noise reduction compensation system as described in claim 1, wherein, The feedback filter includes a storage module, wherein the compensated filter parameters are stored in the storage module.

5. The ear canal noise reduction compensation system as described in claim 1, wherein, This feedback filter is an active noise reduction feedback filter module.

6. The ear canal noise reduction compensation system as described in claim 1, wherein, The compensated filter parameters are transmitted and stored through the wireless transmission network to a device or equipment with sound source processing capabilities, and the device or equipment generates the compensated energy in the frequency response of the reverse wave in the ear canal through the compensated filter parameters.

7. The ear canal noise reduction compensation system as described in claim 1, wherein, The ear canal noise reduction compensation system uses wireless communication technology in conjunction with the headphone device and the application of the electronic device to perform real-time and / or synchronous processing.

8. A method for noise reduction compensation in the ear canal, comprising: Sound is transmitted to the user's ear canal via a speaker driven by audio signals. The device uses an in-ear microphone to receive reflected sound from the user's ear canal and converts the reflected sound into an electrical signal. The electrical signal converted from the in-ear microphone is received by a wireless transmission and reception module connected to the in-ear microphone; as well as The electronic device receives the electrical signal transmitted from the wireless transmission / reception module via a wireless transmission network. The electronic device calculates the sound wave energy difference between the in-ear microphone and the eardrum based on the electrical signal and artificial intelligence technology. Based on the sound wave energy difference, it generates a compensating filter parameter associated with the user's ear canal. The compensating filter parameter is transmitted to the feedback filter through the wireless transmission network and the wireless transmission and reception module. The compensating filter parameter is then used to generate the compensating energy of the reverse wave in the ear canal in the frequency response.

9. The ear canal noise reduction compensation method as described in claim 8, wherein, This message is either transparent or streaming.

10. The ear canal noise reduction compensation method as described in claim 8, wherein, This audio signal is a frequency below 3kHz.

11. The ear canal noise reduction compensation method as described in claim 8, wherein, The feedback filter includes a storage module, wherein the compensated filter parameters are stored in the storage module.

12. The ear canal noise reduction compensation method as described in claim 8, wherein, This feedback filter is an active noise reduction feedback filter module.

13. The ear canal noise reduction compensation method as described in claim 8, wherein, The compensated filter parameters are transmitted and stored through the wireless transmission network to a device or equipment with sound source processing capabilities, and the device or equipment generates the compensated energy in the frequency response of the reverse wave in the ear canal through the compensated filter parameters.

14. The ear canal noise reduction compensation method as described in claim 8, wherein, The ear canal noise reduction compensation system uses the application of the electronic device in conjunction with wireless communication technology for real-time and / or synchronous processing.

15. A computer program product for performing the ear canal noise reduction compensation method as described in any one of claims 8 to 14.

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