TW201816777A - Electronic device and multi-frequency filter gain optimization method thereof - Google Patents

Abstract

A multi-frequency filter gain optimization method for use in an electronic device is provided. The method includes the steps of: receiving an input audio signal and converting the input audio signal into an input digital signal; obtaining a hearing attenuation curve of a user; calculating a matching frequency gain corresponding to the hearing attenuation curve; applying a multi-band band-pass filter to the input digital signal; calculating a matching frequency relationship matrix of the multi-band band-pass filter; setting a gain of a high frequency band-pass filter to a default value; calculating a gain of each band-pass filter according to the matching frequency gain and the matching frequency relationship matrix; calculating a filter feature and compensation gain of each band-pass filter to obtain an output signal of each band-pass filter; synthesizing the output signal of each band-pass filter and the high-frequency band-pass filter to an output audio signal; and playing the output audio signal on a speaker.

Description

 Electronic device and frequency dividing filter gain optimization method thereof  

The present invention relates to hearing aids, and more particularly to an electronic device and its frequency division filter gain optimization method.

Wide dynamic range compression (WDRC) technology is widely used in the range of hearing aids. After a long period of research, it is found that the startup time is about 5ms to meet the user's needs, but the recovery time varies with the environment. Figure 1 is a schematic diagram showing the hearing compensation curve for wide dynamic range compression to convert the input audio signal. Curve 110 (the dotted line portion) refers to the conversion curve of the unprocessed input audio signal, that is, the input audio signal is equal to the output audio signal. The curve 520 (solid line part) refers to a conversion curve of the input audio signal subjected to wide dynamic range compression, and can be divided into four regions 131 to 134 according to the strength of the input audio signal. The intensity of the audio signal can usually be expressed in terms of dB SPL (sound pressure level). Region 131 refers to a high linear region (eg, greater than 90 dB SPL), meaning that the saturated sound pressure of a hearing impaired person is the same as that of a normal person, without amplification. Region 132 refers to a compression zone (eg, between 55 and 90 dB SPL) to adjust the dynamic range of the user's listening domain. Area 133 refers to the low linear area (eg, 40 to 55 db SPL) to help the hearing impaired to amplify the faint voice. Region 134 refers to an expansion region (e.g., less than 40 dB SPL) in which the intensity of the audio signal is rather weak, and the input audio signal may be less loud than the speech sound signal, without too much amplification. In addition, there is a volume limiter at the output of the hearing aid to limit the maximum volume of the output audio signal, for example, limited to 110dB SPL.

In general, when hearing-impaired people wear hearing aids, they will compensate for the different frequencies of hearing-impaired hearing impairment curves. Since the frequencies of the input sound signals have different gains, if the picture of the input audio signal is divided into different numbers of bands, the range of each band is relatively small, for example, the input audio signal can be converted by Fourier transform. Switching from the time domain to the frequency domain, the corresponding gain can be adjusted for individual frequencies, but the calculation of the Fourier transform is relatively large, and the audio processing circuit in the hearing aid is equivalent. Big burden.

In addition to hearing aids, hearing impaired people also have the need to use portable electronic devices (such as smart phones and tablets) and do not wear hearing aids when using portable electronic devices. Because the output characteristics of the speaker of the portable electronic device are not designed for the hearing impaired, if the WDRC method used on the hearing aid is used on the portable electronic device, it is often in the high frequency part (for example, greater than 4KHz). The sound of the sound will produce a howling sound when the speaker is output, which will affect the user experience of the hearing impaired person on the portable electronic device.

Therefore, there is a need for an electronic device and a method of dividing the frequency gain optimization method thereof to solve the above problems.

The present invention provides an electronic device comprising: an audio input stage for receiving an input audio signal and converting the input audio signal into an input digital signal; an audio processing circuit for performing the input electrical signal a frequency division filter gain optimization method for generating an output digital signal; and an audio output stage for converting the output digital signal into an output audio signal and playing the output audio signal on a speaker of the electronic device, wherein the The frequency filter gain optimization method comprises: obtaining a hearing attenuation curve of a user; calculating a plurality of adapted frequency gains corresponding to the hearing attenuation curve; applying a segmented band pass filter to the input digital signal, wherein the segmentation The band pass filter includes a plurality of band pass filters for different frequency bands; calculating an adapted frequency relationship matrix corresponding to the segment band pass filter; and the plurality of adapted frequency gains and the adapted frequency relationship matrix Calculating a gain of each band pass filter; calculating the phase of each band filter according to the phase of the gain of each band pass filter A compensating gain and filter characteristics; calculating a respective filter output signal according to the characteristics of the respective band-pass filter and the compensating gain; and each of the band pass filter corresponding to the output signals of the audio signal for output.

The present invention further provides a frequency division filter gain optimization method for an electronic device, wherein the electronic device includes an audio input stage, an audio processing circuit, and an audio output stage, the method comprising: receiving the audio input stage Inputting an audio signal, and converting the input audio signal into an input digital signal; obtaining a hearing attenuation curve of a user; calculating a plurality of adaptive frequency gains corresponding to the hearing attenuation curve; applying one point to the input digital signal a segment bandpass filter, wherein the segmented bandpass filter comprises a plurality of bandpass filters for different frequency bands; calculating an adapted frequency relationship matrix corresponding to the segmented bandpass filter; The frequency gain and the adapted frequency relationship matrix are used to calculate a gain of each band pass filter; the phase of the gain of each band pass filter is used to calculate a filter characteristic of each band filter and a compensation gain; The filter characteristic of the band pass filter and the compensation gain calculate a corresponding output signal; the corresponding output signals of the respective band pass filters are combined An output audio signal is used; and the output audio signal is played by the audio output stage.

The present invention further provides a frequency division filter gain optimization method for an electronic device, wherein the electronic device includes an audio input stage, an audio processing circuit, and an audio output stage, the method comprising: receiving the audio input stage Inputting an audio signal, and converting the input audio signal into an input digital signal; obtaining a hearing attenuation curve of a user; calculating a plurality of adaptive frequency gains corresponding to the hearing attenuation curve; applying one point to an input digital signal a segment bandpass filter, wherein the segmented bandpass filter comprises a high frequency band pass filter and a plurality of band pass filters; calculating an adapted frequency relationship matrix corresponding to the plurality of band pass filters; One of the band pass filters is set to a predetermined value; a gain of each of the band pass filters is calculated according to the plurality of adapted frequency gains and the adapted frequency relationship matrix; and the gain is determined according to each band pass filter Phase to calculate a filter characteristic of each band filter and a compensation gain; calculate corresponding to the filter characteristics of the band pass filters and the compensation gain An output signal; each of the band-pass filter and the high-frequency band-pass filter corresponding to the output signals into an output audio signal; and playback using the audio output stage of the output audio signal.

110, 120‧‧‧ Curve

131-134‧‧‧Area

200‧‧‧Electronic devices

210‧‧‧Optical input stage

211‧‧‧ microphone

212‧‧‧ Analog Digital Converter

220‧‧‧Operation Processing Circuit

230‧‧‧ audio output stage

231‧‧‧ Receiver

232‧‧‧Digital Analog Converter

10‧‧‧ Input audio signal

11‧‧‧ Input electrical signal

12‧‧‧Input digital signal

14‧‧‧Output digital signal

15‧‧‧ Output electrical signal

16‧‧‧ Output audio signal

311-314, 411-414‧‧‧ Curve

510-570, 710-770, 611-614‧‧‧

Figure 1 is a schematic diagram showing the hearing compensation curve for wide dynamic range compression to convert the input audio signal.

Figure 2 is a block diagram showing a hearing aid in accordance with an embodiment of the present invention.

Figures 3A and 3B show schematic diagrams of the distribution of different bandpass filters.

4A and 4B are diagrams showing the distribution of different band pass filters in accordance with an embodiment of the present invention.

Figure 5 is a flow chart showing a frequency division filter gain optimization method in accordance with an embodiment of the present invention.

Figure 6 is a diagram showing the flow of input audio signals processed by respective band pass filters to synthesize an output audio signal in accordance with an embodiment of the present invention.

Figure 7 is a flow chart showing a frequency division filter gain optimization method in accordance with another embodiment of the present invention.

The above described objects, features and advantages of the present invention will become more apparent from the description of the appended claims.

2 is a block diagram showing an electronic device 200 in accordance with an embodiment of the present invention. In an embodiment, the electronic device 200 can be a smart phone, a tablet computer, or a portable electronic device, but the invention is not limited thereto. The electronic device 200 includes an audio input stage 210, an audio processing circuit 220, and an audio output stage 230. The audio input stage 210 includes a microphone 211 and an analog-to-digital converter (ADC) 212. The microphone 211 is configured to receive an input audio signal 10 (for example, an analog audio signal), and convert the input audio signal 10 into an input electrical signal 11, and the analog digital converter 112 is configured to input the electrical signal 11 The input is converted to an input digital signal 12 as an input to the audio processing circuit 220.

The audio processing circuit 220 performs a frequency division filter gain optimization method and/or a wide dynamic range compression process on the input digital signal 12 to generate an output digital signal 14. The details of the crossover filter gain optimization method will be detailed later. It should be understood that the above wide dynamic range compression processing includes a predetermined wide dynamic range compression conversion curve, which is performed on various hearing and frequency hearing measurements in advance for each user's hearing characteristics, thereby obtaining individual widths. Dynamic range compression conversion curve. In addition, when the sound intensity of the input audio signal changes, the audio processing circuit 220 also adjusts the recovery time of the electronic device 200, thereby providing a better user experience for the hearing impaired. In some embodiments, the audio processing circuit 220 can be a microcontroller, a processor, a digital signal processor (DSP), or an application-oriented integrated circuit (ASIC), but the present invention is not Limited to this.

Furthermore, when performing wide dynamic range compression, the audio processing circuit 220 refers to the recovery time factor associated with the input audio signal to adjust the delay (ie, recovery time) of the output audio signal. The audio output stage 230 includes, for example, a speaker 231 and a digital analog converter 232. The digital analog converter 232 is operative to convert the output digital signal 14 produced by the audio processing circuit 220 into an output electrical signal 15. The speaker 231 can convert the output electrical signal 15 into an output audio signal 16 (eg, an analog audio signal) and play it for the user to listen to the output audio signal 16. For convenience of explanation, in the following embodiments, the conversion between the audio signal and the electrical signal is omitted, and only the input audio signal and the output audio signal are used for explanation.

It should be noted that the frequency-divided filter gain optimization method of the present invention can enable a hearing-impaired person to use an electronic device (such as a smart phone or a tablet) to listen to an audio signal to achieve the effect of using a hearing aid. However, the speakers provided in the electronic device are often full-frequency, which means that the audio signals of various frequencies are amplified. In contrast, receivers in hearing aids are typically designed to not amplify high frequency (eg, above 4 KHz) audio signals. Therefore, if the wide dynamic range compression process used in the hearing aid is used on the electronic device, the speaker on the electronic device can easily generate howling, which reduces the user experience of the hearing impaired.

Figures 3A and 3B show schematic diagrams of the distribution of different bandpass filters. For example, when using a bandpass filter in the time domain, a corresponding bandpass filter is set for different frequency band ranges, such as the bandpass filter 310 for the low frequency band in FIG. 3A and for high The band pass filter 311 of the band, and the band pass filter 312 for the low band and the band pass filter 313 for the high band in Fig. 3B are shown. However, the intermediate frequency of each band must maintain the same gain. However, when there is gain at high frequencies, its discontinuity in the boundary between different frequency bands is more serious.

4A and 4B are diagrams showing the distribution of different band pass filters in accordance with an embodiment of the present invention. In an embodiment, the present invention combines bandpass filters with larger filtering bands, which can have different gains at different frequencies, and the transitions in different boundary regions are relatively continuous, as shown in FIG. 4A. The band pass filter 410 for the low band and the band pass filter 411 for the high band, and the band pass filter 412 for the low band and the band pass filter 413 for the high band in Fig. 4B are shown. . It is to be noted that, for convenience of explanation, two bands are taken as an example in FIGS. 4A and 4B, and in the following-described embodiments, four bands are taken as an example for description. Compared to the bandpass filters in Figures 3A and 3B, the bandpass filters in Figures 4A and 4B have a flat slope on both sides of the band.

Figure 5 is a flow chart showing a frequency division filter gain optimization method in accordance with an embodiment of the present invention. At block 510, a hearing attenuation curve for one of the users is obtained. For example, the present invention measures the hearing detection of a user (ie, a hearing impaired person) using five sets of frequencies f ₁ to f _{5 that} are adapted, such as f ₁ =250 Hz , f ₂ =500 Hz , f ₃ = 1000 Hz , f ₄ =2000 Hz , f ₅ =4000 Hz , to confirm the attenuation of the hearing impairment at the individual adaptation frequencies H ₂₅₀ , H ₅₀₀ , H ₁₀₀₀ , H ₂₀₀₀ , and H ₄₀₀₀ . Next, the present invention calculates the attenuation at other adaptation frequencies using interpolation, such as attenuations H ₇₅₀ , H ₁₅₀₀ , and H ₃₀₀₀ at 750 Hz, 1500 Hz, and 3000 Hz. For example: H ₇₅₀ =0.5 ( H ₅₀₀ + H ₁₀₀₀ )

H ₁₅₀₀ =0.5 ( H ₁₀₀₀ + H ₂₀₀₀ )

H ₃₀₀₀ = 0.5 ( H ₂₀₀₀ + H ₄₀₀₀ )

Therefore, the attenuation of 8 different adaptation frequencies can be obtained, and the hearing attenuation curve of the hearing impaired person is confirmed.

At block 520, an adaptive frequency gain process is performed. For example, different hearing gain curves can be used for different hearing gain methods (half gain method, 1/3 gain method, POGOII method, Berger method, NAL-R method, etc.) to obtain relative Gain values G ₂₅₀ , G ₅₀₀ , G ₇₅₀ , G ₁₀₀₀ , G ₁₅₀₀ , G ₂₀₀₀ , G ₃₀₀₀ , and G ₄₀₀₀ at the test frequency. In an embodiment, the NAL-R method is used in the present invention to calculate the gain value of the hearing decline curve at different test frequencies, but the invention is not limited thereto.

At block 530, a segmented bandpass filter is applied. For example, the invention may use a conventional finite impulse response (finite impulse response, FIR) band-pass filter b _c (k). The kth coefficient of this finite impulse response bandpass filter b _c (k) is matched with the appropriate window w(k) . That segment comprises a band pass filter of band-pass filters of different frequency bands, each frequency band, for example band-pass filter _{B c (k) = b c} (k). w(k) , wherein the first frequency band B1 is 0 to 1000 Hz, the second frequency band B2 is 1000 to 2000 Hz, the third frequency band B3 is 2000 to 4000 Hz, and the fourth frequency band B4 is 4000 to 8000 Hz.

At block 540, a band pass filter calculation B _c (k) of the matrix corresponding to the adaptation frequency relationship. For example, the present invention uses a sampling frequency f _{s to} design a chord signal of the adaptation frequency. ( k ), string signal ( k ) can be expressed as follows:

String signal ( k ) is a bandpass filter passing through each frequency band, and calculates an adaptive frequency relationship matrix. For example, in the above steps, a bandpass filter of 4 frequency bands and 8 adaptive frequency gains are used, so the frequency relationship matrix is adapted. In this embodiment it is an 8x4 matrix. Furthermore, if the number of adaptation frequency gains is M (for example, the first number) and the number of frequency bands is N (for example, the second number), the size of the adaptation frequency relationship matrix is M. N. In this embodiment, M ≠ N, that is, the first number is not equal to the second number.

For example, the adaptation frequency relationship matrix can be expressed as follows:

That is, a signal whose amplitude is 1 and whose vibration frequency is f _j passes through the state presented by the filter B _i . In brief, although the bandpass filter B _c (k) of each band is calculated by the window w(k) , in reality, each bandpass filter has a boundary with other bandpass filters on both sides. Therefore, it is necessary to calculate the mutual influence, that is, the above-mentioned adaptation frequency relationship matrix.

At block 550, calculated for each band-pass filter B _c (k) of the gain. For example, the conversion adaptation frequency gain can be represented by the following matrix:

In simple terms, the segmented bandpass filter is represented by B _c (k) , and the adaptive frequency relationship matrix is Said that the adaptation frequency gain is Indicates that the gain required for each bandpass filter is And the relationship of the above parameters is:

At this time, the gain required for each band pass filter B _c (k) can be expressed by the following equation:

The adapted frequency gain has been calculated in blocks 520 and 540, respectively. And adaptive frequency relationship matrix Therefore, the gain required for each bandpass filter B _c (k) Can be based on known adaptation frequency gain And adaptive frequency relationship matrix Calculated.

At block 560, the filter characteristics and gain of the segmented bandpass filter are updated. For example, it is necessary to confirm that the phase of the gain R _i of each band pass filter is destructive or constructive, for example:

Then, update the segmentation filter characteristics. And gain And convert the new compensation gain for each band into a dB value, for example .

At block 570, new bandpass filter characteristics are selected for each band. The audio processing circuit 220 can adjust the input audio signal, divide it into N frequency bands, and then adjust the gain characteristic of the WDRC through the compensation gain r _i , and finally integrate the result of each frequency band to become the output audio signal of the speaker 231 of the electronic device 200. . For example, the flow of the input audio signals processed by the respective band pass filters to synthesize the output audio signals is shown in FIG.

Furthermore, each band pass filter has a corresponding compensation gain (for example, r1~r4), and after the audio signal of each band pass filter passes the compensation gain, it enters the corresponding WDRC processing for calculation, for example, block 611- WDRC1~WDRC4 in 614. Finally, the individual audio signals generated by WDRC1~WDRC4 are combined into an output audio signal.

Figure 7 is a flow chart showing a frequency division filter gain optimization method in accordance with another embodiment of the present invention. At block 710, a plurality of adapted frequency gains are obtained. For example, obtaining the plurality of adapted frequency gains can be implemented in two ways. The first method is to store the plurality of adaptive frequency gains in a non-volatile memory (not shown) of the electronic device 200 in advance. These pre-stored adapted frequency gains are compatible with the various frequency gains required by most hearing impaired people. The second method is to obtain one of the user's hearing attenuation curves. For example, the hearing detection for the user (ie the hearing impaired) can be measured using the adapted five sets of frequencies f ₁ ~ f ₅ , eg f ₁ =250 Hz , f ₂ =500 Hz , f ₃ =1000 Hz , f ₄ =2000 Hz , f ₅ =4000 Hz , to confirm the attenuation of the hearing impairment at the individual adaptation frequencies H ₂₅₀ , H ₅₀₀ , H ₁₀₀₀ , H ₂₀₀₀ , and H ₄₀₀₀ . Next, the present invention calculates the attenuation at other adaptation frequencies using interpolation, such as attenuations H ₇₅₀ , H ₁₅₀₀ , and H ₃₀₀₀ at 750 Hz, 1500 Hz, and 3000 Hz. For example: H ₇₅₀ =0.5 ( H ₅₀₀ + H ₁₀₀₀ )

H ₁₅₀₀ =0.5 ( H ₁₀₀₀ + H ₂₀₀₀ )

H ₃₀₀₀ = 0.5 ( H ₂₀₀₀ + H ₄₀₀₀ )

Therefore, the attenuation of 8 different adaptation frequencies can be obtained, and the hearing attenuation curve of the hearing impaired person is confirmed.

Then, an adaptive frequency gain process can be performed on the obtained hearing attenuation curve. For example, different hearing gain curves can be used for different hearing gain methods (half gain method, 1/3 gain method, POGOII method, Berger method, NAL-R method, etc.) to obtain relative Gain values G ₂₅₀ , G ₅₀₀ , G ₇₅₀ , G ₁₀₀₀ , G ₁₅₀₀ , G ₂₀₀₀ , G ₃₀₀₀ , and G ₄₀₀₀ at the test frequency. In an embodiment, the NAL-R method is used in the present invention to calculate the gain value of the hearing decline curve at different test frequencies, but the invention is not limited thereto.

At block 730, a segmented bandpass filter is applied. For example, the invention may use a conventional finite impulse response (finite impulse response, FIR) band-pass filter b _c (k). The kth coefficient of this finite impulse response bandpass filter b _c (k) is matched with the appropriate window w(k) . That segment comprises a band pass filter of band-pass filters of different frequency bands, each frequency band, for example band-pass filter _{B c (k) = b c} (k). w(k) , wherein the first frequency band B1 is 0 to 1000 Hz, the second frequency band B2 is 1000 to 2000 Hz, the third frequency band B3 is 2000 to 4000 Hz, and the fourth frequency band B4 is 4000 to 8000 Hz.

At block 740, a band pass filter calculation B _c (k) corresponding to the Mx (N-1) frequency relationship matrix adapted. For example, the present invention uses a sampling frequency f _{s to} design a chord signal of the adaptation frequency. ( k ), string signal ( k ) can be expressed as follows:

Since the high frequency signal above 4 kHz is audible to the speaker 231 of the electronic device, the gain of the output audio signal in the high frequency portion is limited. Furthermore, the output audio signal is the same as the input audio signal in the high frequency part, that is, the gain of the high frequency part is unchanged, so the gain of the high frequency part can be represented by an 8x1 matrix (ie, 8 matching frequency gains). Band of 4KHz):

In addition, the corresponding adaptive frequency relationship matrix corresponding to the audio signal below 4 kHz is calculated, for example, an 8×3 matrix can be used, that is, 8 adaptive frequency gains are matched with 3 frequency bands below 4 kHz, and the number of adaptive frequency gains is M. The number of bandpass filters is N, and the adapted frequency relationship matrix corresponding to each bandpass filter (not including the high bandpass filter) can be expressed, for example, as an Mx(N-1) matrix:

String signal ( k ) is a bandpass filter that passes through each frequency band, and calculates an adaptive frequency relationship matrix. For example, in the above steps, a bandpass filter of three frequency bands below 4 kHz and eight adaptive frequency gains are used, so the frequency is adapted. The relationship matrix is an 8x3 matrix in this embodiment.

That is, a signal whose amplitude is 1 and whose vibration frequency is f _j passes through the state presented by the filter B _i . In brief, although the bandpass filter B _c (k) of each band is calculated by the window w(k) , in reality, each bandpass filter has a boundary with other bandpass filters on both sides. Therefore, it is necessary to calculate the mutual influence, that is, the above-mentioned adaptation frequency relationship matrix.

At block 750, calculated for each band-pass filter B _c (k) of the gain. For example, the conversion adaptation frequency gain can be represented by the following matrix:

In simple terms, the segmented bandpass filter is represented by B _c (k) , and the adaptive frequency relationship matrix is Said that the adaptation frequency gain is Indicates that the gain required for each bandpass filter is And the relationship of the above parameters is:

At this time, the gain required for each band pass filter B _c (k) can be expressed by the following equation:

The gain of the fourth frequency band (above 4 kHz) is fixed at 1.

The adapted frequency gain has been calculated in blocks 720 and 740, respectively. And adaptive frequency relationship matrix Therefore, the gain required for each bandpass filter B _c (k) Can be based on known adaptation frequency gain And adaptive frequency relationship matrix Calculated.

At block 760, the filter characteristics and compensation gain of the segmented bandpass filter are updated. For example, it is necessary to confirm that the phase of the gain R _i of each band pass filter is destructive or constructive, for example:

Then, update the segmentation filter characteristics. And gain And convert the new compensation gain for each band into a dB value, for example .

At block 770, the output audio signal is synthesized. Further, based on the new bandpass filter characteristics of each band The audio processing circuit 220 can adjust the input audio signal, divide it into N frequency bands, and then adjust the gain characteristic of the WDRC through the compensation gain r _i , and finally synthesize the output signal of the band pass filter of each frequency band into the speaker of the electronic device 200. 231 output audio signal. For example, the flow of the input audio signals processed by the respective band pass filters to synthesize the output audio signals is shown in FIG.

Furthermore, each band pass filter has a corresponding compensation gain (for example, r1~r4), and after the audio signal of each band pass filter passes the compensation gain, it enters the corresponding WDRC processing for calculation, for example, block 611- WDRC1~WDRC4 in 614. Finally, the individual audio signals generated by WDRC1~WDRC4 are combined into an output audio signal.

Compared with the fifth picture of the present case, the flow chart of the frequency-dividing filter gain optimization method in the seventh picture of the present case can further specially process the high-frequency audio signal for the characteristics of the speaker on the electronic device, so that the high-frequency audio signal does not The whistling sound is generated when the speaker is played, and the compensation gain is optimized for the portion other than the high frequency signal.

The present invention has been disclosed in the above preferred embodiments, and is not intended to limit the scope of the present invention. Any one of ordinary skill in the art can make a few changes without departing from the spirit and scope of the invention. The scope of protection of the present invention is therefore defined by the scope of the appended claims.

Claims (10)

 An electronic device comprising: an audio input stage for receiving an input audio signal and converting the input audio signal into an input digital signal; an audio processing circuit for performing a frequency division filtering on the input electrical signal a gain optimization method for generating an output digital signal; and an audio output stage for converting the output digital signal into an output audio signal and playing the output audio signal on a speaker of the electronic device, wherein the frequency division filter gain is optimized The method includes: obtaining a plurality of adapted frequency gains; applying a segmented bandpass filter to the input digital signal, wherein the segmented bandpass filter includes a plurality of bandpass filters for different frequency bands; calculating the score a matching frequency relationship matrix corresponding to the segment band pass filter; calculating a gain of each band pass filter according to the plurality of adapted frequency gains and the adapted frequency relationship matrix; the gain according to each band pass filter Phase to calculate the filter characteristics of one of the band filters and a compensation gain; the filter characteristics and the complement according to each band pass filter A gain calculating a corresponding output signal; and each of the band pass filter corresponding to the output signals of the audio signal for output.    The electronic device of claim 1, wherein the plurality of adapted frequency gain systems correspond to 250 Hz, 500 Hz, 750 Hz, 1000 Hz, 1500 Hz, 2000 Hz, 3000 Hz, and 4000 Hz, respectively.    The electronic device of claim 1, wherein the plurality of adapted frequency gains have a first quantity, and the plurality of band pass filters have a second quantity, and the first quantity is not equal to the second Quantity.    The electronic device of claim 1, wherein the audio processing circuit calculates a phase value of the gain of each band pass filter, and updates the filter characteristics of each band pass filter according to the phase value. This compensation gain.    A frequency division filter gain optimization method for an electronic device, wherein the electronic device includes an audio input stage, an audio processing circuit, and an audio output stage, the method comprising: receiving an input audio signal by the audio input stage And converting the input audio signal into an input digital signal; obtaining a plurality of adaptive frequency gains; applying a segmented band pass filter to the input digital signal, wherein the segmented band pass filter is included for different frequency bands a plurality of band pass filters; calculating an adapted frequency relationship matrix corresponding to the segmented band pass filter; calculating a gain of each band pass filter according to the plurality of adapted frequency gains and the adapted frequency relationship matrix And calculating a filter characteristic of each band filter and a compensation gain according to the phase of the gain of each band pass filter; calculating a corresponding output signal according to the filter characteristic of each band pass filter and the compensation gain; Combining the corresponding output signals of the band pass filters into an output audio signal; and playing the output audio signal by using the audio output stage.    The frequency division filter gain optimization method according to claim 5, wherein the plurality of adapted frequency gain systems correspond to 250 Hz, 500 Hz, 750 Hz, 1000 Hz, 1500 Hz, 2000 Hz, 3000 Hz, and 4000 Hz, respectively.    The frequency division filter gain optimization method according to claim 5, wherein the plurality of adaptation frequency gains have a first quantity, and the plurality of band pass filters have a second quantity, and the first quantity is not Equal to the second quantity.    The method for optimizing a frequency-divided filter gain according to claim 5, further comprising: calculating a phase value of the gain of each band-pass filter; and updating the filter characteristic of each band-pass filter according to the phase value. And the compensation gain.    A frequency division filter gain optimization method for an electronic device, wherein the electronic device includes an audio input stage, an audio processing circuit, and an audio output stage, the method comprising: receiving an input audio signal by the audio input stage And converting the input audio signal into an input digital signal; obtaining a plurality of adaptive frequency gains; applying a segmented band pass filter to an input digital signal, wherein the segmented band pass filter comprises a high frequency band pass filter And a plurality of band pass filters; calculating an adapted frequency relationship matrix corresponding to the plurality of band pass filters; setting a gain of the high band pass filter to a preset value; according to the plurality of adaptations Frequency gain and the adaptive frequency relationship matrix, calculating a gain of each band pass filter; calculating a filter characteristic of each band filter and a compensation gain according to the phase of the gain of each band pass filter; Calculating a corresponding output signal by the filter characteristic of the pass filter and the compensation gain; and outputting the corresponding output signal of each band pass filter and the high frequency band pass filter The number is synthesized into an output audio signal; and the output audio signal is played by the audio output stage.    The frequency division filter gain optimization method according to claim 9, wherein the preset value is 1.