WO2021175267A1 - Procédé de mise en œuvre d'une annulation active de bruit, appareil, et dispositif électronique - Google Patents

Procédé de mise en œuvre d'une annulation active de bruit, appareil, et dispositif électronique Download PDF

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WO2021175267A1
WO2021175267A1 PCT/CN2021/078951 CN2021078951W WO2021175267A1 WO 2021175267 A1 WO2021175267 A1 WO 2021175267A1 CN 2021078951 W CN2021078951 W CN 2021078951W WO 2021175267 A1 WO2021175267 A1 WO 2021175267A1
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signal
ear
noise signal
noise
masking effect
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PCT/CN2021/078951
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English (en)
Chinese (zh)
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施栋
苏杰
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华为技术有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • H04R1/1083—Reduction of ambient noise
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1785—Methods, e.g. algorithms; Devices
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R1/00—Details of transducers, loudspeakers or microphones
    • H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/10—Applications
    • G10K2210/108—Communication systems, e.g. where useful sound is kept and noise is cancelled
    • G10K2210/1081—Earphones, e.g. for telephones, ear protectors or headsets
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
    • G10K2210/30—Means
    • G10K2210/301—Computational
    • G10K2210/3026—Feedback
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
    • H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups

Definitions

  • This application relates to the technical field of smart terminals, and in particular to a method, device and electronic equipment for realizing active noise cancellation.
  • ANC Active Noise Cancellation
  • the ANC scheme is to reduce noise at the human ear. Its principle is: all sounds are composed of a certain frequency spectrum. If a sound (active noise) can be found, its frequency spectrum is exactly the same as the external noise to be eliminated, but the phase is just right. On the contrary (a difference of 180°), the external noise can be completely cancelled out.
  • the active noise is output to the human ear. At the human ear, the active noise and the external noise are cancelled out, and the noise reduction of the earphone can be realized.
  • the noise reduction can be achieved by offsetting the active noise with external noise at the human ear.
  • the noise reduction effect after the implementation of the ANC scheme is not ideal.
  • This application provides a method, device and electronic equipment for realizing active noise cancellation.
  • This application also provides a computer-readable storage medium to provide an active noise cancellation solution and improve the noise reduction effect of the active noise cancellation solution.
  • an embodiment of the present application proposes a method for realizing active noise cancellation, including:
  • an active noise signal for realizing active noise cancellation is generated, wherein the active noise signal is used to control the frequency spectrum of the external noise signal reaching the human ear at the Under the masking effect of the frequency spectrum of the content signal.
  • an active noise signal for realizing active noise cancellation is generated according to the masking effect of the playback content signal on the external noise signal, wherein:
  • determining, according to the playback content signal, the masking effect of the playback content signal on the external noise signal includes:
  • generating an active noise signal for realizing active noise cancellation according to the masking effect of the playback content signal on the external noise signal includes:
  • the active noise signal is generated according to the control strategy of the active noise cancellation.
  • the feedback input of the ear noise signal in the control strategy of active noise cancellation is determined according to the masking effect of the playback content signal on the ear noise signal, wherein, according to The masking effect of the play content signal on the ear noise signal on the first frequency band determines the strength of the feedback input of the ear noise signal on the first frequency band.
  • determining the masking effect of the playback content signal on the ear noise signal includes:
  • the masking effect of the playback content signal on the ear noise signal in each frequency band is determined.
  • generating an active noise signal for realizing active noise cancellation according to the masking effect of the playback content signal on the external noise signal includes:
  • the in-ear noise signal is filtered to obtain the in-ear noise filtering result signal, wherein the smaller the frequency band weight is, the in-ear noise filtering result signal is The lower the signal strength of the corresponding frequency band;
  • the in-ear noise filtering result signal is used as the feedback input of the in-ear noise signal in the control strategy of active noise cancellation.
  • an embodiment of the present application also proposes a device for realizing active noise cancellation, including:
  • the first signal acquisition module which is used to acquire the playback content signal
  • a masking effect analysis module which is used to determine the masking effect of the playback content signal on the external noise signal
  • the active noise generation module is used to generate an active noise signal for realizing active noise cancellation according to the masking effect of the playback content signal on the external noise signal, so that the frequency spectrum of the external noise signal reaching the human ear is controlled in the Under the masking effect of the frequency spectrum of the content signal.
  • an embodiment of the present application also proposes an electronic device.
  • the electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor At this time, the electronic device is triggered to execute the method steps described in the embodiments of the present application.
  • an embodiment of the present application also proposes a computer-readable storage medium.
  • the computer-readable storage medium stores a computer program, which when running on a computer, causes the computer to execute the method of the embodiment of the present application.
  • an active noise signal for realizing active noise cancellation is generated based on the masking effect generated by the playing content signal on the external noise signal, so that the frequency spectrum of the external noise signal reaching the human ear is controlled at the level of the playing content signal.
  • the method according to the embodiment of the present application can greatly improve the noise reduction effect.
  • Fig. 1 shows a flowchart of an embodiment of an active noise cancellation method according to the present application
  • Figure 2 shows a schematic diagram of an application scenario of an implementation of the ANC solution
  • Fig. 3 is a flowchart of an embodiment of an active noise cancellation method according to the present application.
  • Figure 4 shows a schematic diagram of an implementation of the ANC scheme
  • FIG. 5 shows a schematic diagram of an ANC solution according to an embodiment of the present application
  • Fig. 6 shows a flowchart of an embodiment of an active noise cancellation method according to the present application
  • Figure 7 shows a schematic diagram of the comparison of the implementation effects of two active noise cancellation schemes
  • Fig. 8 is a structural diagram of an embodiment of an active noise cancellation device according to the present application.
  • the embodiment of the present application proposes a method for realizing active noise cancellation.
  • the inventor first analyzes the principle essence of the ANC solution and the actual application scenario of the ANC solution.
  • the principle of the ANC scheme is: all sounds are composed of a certain frequency spectrum. If you can find a sound (active noise) whose frequency spectrum is exactly the same as the external noise to be eliminated, but the phase is exactly opposite (a difference of 180°), you can Completely cancel out the external noise.
  • the realization of noise reduction is essentially to reduce (minimize) the energy of external noise reaching the human ear, that is, the energy of the noise in the user's ear.
  • the external noise introduced into the user's ear does not mean that the user can perceive the external noise.
  • the active noise cancellation is still carried out according to the scheme of reducing (minimizing) the energy of the external noise reaching the human ear, which will result in the final external noise in the ear being cancelled by the active noise, and a part of it may still be heard by the user .
  • the masking effect generated by the playback content signal on the external noise signal is first determined, and then the active noise is determined based on the masking effect.
  • Fig. 1 shows a flowchart of an embodiment of an active noise cancellation method according to the present application.
  • the active noise cancellation method includes:
  • Step 110 Obtain a play content signal
  • Step 120 Determine, according to the playback content signal, the masking effect of the playback content signal on the external noise signal
  • Step 130 Generate an active noise signal for realizing active noise cancellation according to the masking effect of the playback content signal on the external noise signal, where the active noise signal is used to control the frequency spectrum of the external noise signal reaching the human ear to the playback content signal Under the masking effect of the spectrum.
  • an active noise signal for realizing active noise cancellation is generated based on the masking effect generated by the playing content signal on the external noise signal, so that the frequency spectrum of the external noise signal reaching the human ear is controlled at the level of the playing content signal.
  • the method according to the embodiment of the present application can greatly improve the noise reduction effect.
  • each step of the embodiment shown in FIG. 1 may adopt a variety of different specific implementation manners.
  • the active noise is divided into multiple different frequency bands, and the active noise of the different frequency bands are respectively determined to form a complete active noise finally. Therefore, in an implementation of step 130, in the process of generating an active noise signal for realizing active noise cancellation according to the masking effect of the broadcast content signal on the external noise signal, according to the broadcast content signal in a certain frequency band
  • the masking effect on the external noise signal determines the strength of the active noise in this frequency band. For example, for the first frequency band (the first frequency band may be any frequency band), the strength of the active noise in the first frequency band is determined according to the masking effect of the playing content signal on the external noise signal in the first frequency band.
  • FIG. 2 shows a schematic diagram of an application scenario of an implementation of the ANC solution.
  • the microphone 201 is a microphone arranged on the non-ear part of the earphone
  • the microphone 202 is a microphone arranged on the ear part of the earphone.
  • the microphone 202 can collect environmental noise signals (in-ear noise signals) that can be heard by the ear; the microphone 201 can collect external noise signals (external noise signals).
  • one implementation of the ANC solution is to transmit the noise signal in the ear and the noise signal outside the ear to the control circuit, and perform real-time calculations to generate an active signal with the opposite phase and the same amplitude as the noise in the ear.
  • Noise signal 212; the active noise signal 212 is transmitted through the speaker on the earphone to cancel the noise.
  • the noise signal 211 passes through the earphone into the ear outside the ear, and cancels out with the active noise signal 212 in the ear.
  • the noise signal in the ear is the noise signal reaching the human ear. Therefore, for the application scenario shown in FIG. 2, in an implementation of step 120 shown in FIG. 1, determining the masking effect of the playback content signal on the external noise signal is to determine the effect of the playback content signal on the ear noise signal. The resulting masking effect.
  • Fig. 3 shows a flowchart of an embodiment of an active noise cancellation method according to the present application.
  • the process of determining the masking effect of the playing content signal on the external noise signal includes:
  • Step 310 Obtain a noise signal in the ear
  • Step 320 Determine the masking effect of the playing content signal on the ear noise signal.
  • a closed-loop feedback scheme is used to generate the active noise signal 212.
  • the calculation circuit uses the ear noise signal acquired by the microphone 202 as a feedback signal, performs closed-loop feedback calculation based on the feedback signal, and processes the signal acquired by the microphone 201 to generate noise waves with opposite phases to cancel each other in the ear.
  • Figure 4 shows a schematic diagram of an implementation of the ANC solution.
  • the data input node 401 refers to the microphone 201 arranged on the non-ear part of the headset shown in FIG. 2
  • the data input node 402 refers to the microphone 202 arranged on the ear part of the headset shown in FIG. 2.
  • the modules 403, 405, and 406 respectively use calculation functions P(z), S(z), and S(z) to perform calculation processing on their input to generate output.
  • the input of 401 is the external-ear noise signal x(n), where n represents the sampling point.
  • the module 403 is used to simulate the transmission environment in which external noise penetrates into the ear through the earphone.
  • P(z) represents the transfer function of the external noise penetrating the ear through the earphone. Therefore, the output d(n) of the module 411 is the ear noise signal.
  • the module 406 is used to simulate the transmission environment of the active noise signal in the ear.
  • S(z) is the transfer function from the earphone speaker to the microphone 402.
  • S(z) can be measured in advance or estimated in real time (for example, when the earphone is playing music downstream).
  • Module 404 is used to refer to an adaptive filter that generates an active noise signal.
  • the adaptive filter processes the external noise signal x(n) to generate an active noise signal, and H(z) represents the parameters of the adaptive filter.
  • the purpose of the calculation module is to estimate H(z) to make it as close to P(z) as possible. Then x(n) obtains y(n) through H(z) and S(z), which can cancel out the noise signal d(n) in the ear.
  • H(z) as the working parameter of the adaptive filter, it is possible to output an active noise signal that can actively cancel and reduce noise.
  • closed-loop feedback is used to adjust H(z).
  • the e(n) input by 402 is the residual noise signal (error signal) that y(n) and d(n) cancel out.
  • the module 407 is based on the Least Mean Square (LeastMeanSquare, LMS) algorithm, takes e(n) as the feedback input, and adjusts the H(z) parameter according to the e(n) and the output of the module 405.
  • LMS Least Mean Square
  • the in-ear noise signal obtained by the microphone 202 is not directly used as the feedback signal, but is based on the masking effect of the broadcast content signal on the in-ear noise signal on the in-ear noise signal. Perform processing to determine the feedback signal.
  • the process of generating an active noise signal for realizing active noise cancellation according to the masking effect generated by the playback content signal on the external noise signal includes:
  • Step 330 Determine the feedback input of the in-ear noise signal in the control strategy of active noise cancellation according to the masking effect of the playing content signal on the in-ear noise signal;
  • Step 340 Generate active noise according to the control strategy of active noise cancellation based on the feedback input of the noise signal in the ear.
  • FIG. 5 shows a schematic diagram of an ANC solution according to an embodiment of the present application.
  • the data input node 501 refers to the microphone 201 placed on the non-ear part of the headset shown in FIG. 2
  • the data input node 502 refers to the microphone 202 placed on the ear part of the headset shown in FIG. 2.
  • the modules 503, 505, and 506 respectively use calculation functions P(z), S(z), and S(z) to perform calculation processing on their input to generate an output.
  • the input of 501 is the external-ear noise signal x(n), where n represents the sampling point.
  • the module 503 is used to simulate the transmission environment in which external noise penetrates into the ear through the earphone.
  • P(z) represents the transfer function of the external noise infiltrating the ear through the earphone. Therefore, the output d(n) of the module 511 is the ear noise signal.
  • the module 506 is used to simulate the transmission environment of the active noise signal in the ear.
  • S(z) is the transfer function from the earphone speaker to the microphone 402. S(z) can be measured in advance or estimated in real time (for example, when the earphone is playing music downstream).
  • Module 504 is used to refer to an adaptive filter that generates an active noise signal.
  • the adaptive filter processes the external noise signal x(n) to generate an active noise signal, and H(z) represents the parameters of the adaptive filter.
  • the purpose of the calculation module is to estimate H(z) to make it as close to P(z) as possible. Then x(n) obtains y(n) through H(z) and S(z), which can cancel out the noise signal d(n) in the ear.
  • H(z) as the working parameter of the adaptive filter, it is possible to output an active noise signal that can actively cancel and reduce noise.
  • closed-loop feedback is used to adjust H(z).
  • the module 507 is based on the least mean square algorithm (LeastMeanSquare, LMS), and adjusts the H(z) parameter according to the feedback input and the output of the module 505.
  • e(n) is y(n) and d(n) to cancel the residual noise signal.
  • the module 507 when the module 507 performs closed-loop feedback adjustment H(z), it does not use e(n) as the feedback input, but uses the output q( n) is the feedback input.
  • the block 508 refers to a filter with W(z) as the filter parameter.
  • the masking effect analyzer 510 inputs the analysis result of the masking effect generated by the playback content signal on the ear noise signal to the module 508.
  • the module 508 adjusts e(n) based on the analysis result of the masking effect, and inputs the adjustment result as a feedback input to the module 508.
  • step 330 in the process of determining the feedback input of the in-ear noise signal in the control strategy of active noise cancellation according to the masking effect generated by the playback content signal on the in-ear noise signal, according to the playback content
  • the masking effect of the signal on the ear noise signal in a certain frequency band determines the strength of the feedback input of the ear noise signal in this frequency band.
  • the strength of the feedback input of the ear noise signal in the first frequency band is determined according to the masking effect of the broadcast content signal on the ear noise signal in the first frequency band .
  • the masking effect is analyzed by analyzing the frequency spectrum of the audio signal.
  • Fig. 6 shows a flowchart of an embodiment of an active noise cancellation method according to the present application.
  • the process of determining the masking effect of the playing content signal on the ear noise signal includes:
  • Step 610 Calculate the frequency spectrum of the ear noise signal according to the ear noise signal
  • Step 620 Calculate the frequency spectrum of the played content signal according to the played content signal
  • Step 630 Determine, according to the frequency spectrum of the noise signal in the ear and the frequency spectrum of the playback content signal, the masking effect of the playback content signal in each frequency band on the noise signal in the ear.
  • the masking effect of the playing content signal on each frequency band of the ear noise signal is represented by allocating corresponding weights to each frequency band of the ear noise signal. Specifically, for a certain frequency band, the stronger the shielding effect of the broadcast content signal on the ear noise signal, the smaller the frequency band weight corresponding to the frequency band of the ear noise signal.
  • the process of generating an active noise signal for realizing active noise cancellation according to the masking effect generated by the playback content signal on the external noise signal includes:
  • Step 640 Determine frequency band weights corresponding to different frequency bands of the ear noise signal according to the masking effect produced by the frequency spectrum of the playing content signal on the frequency spectrum of the ear noise signal, where the stronger the masking effect, the smaller the corresponding frequency band weight;
  • Step 650 Filter the in-ear noise signal according to the frequency band weights corresponding to different frequency bands of the in-ear noise signal to obtain the in-ear noise filtering result signal, where the smaller the frequency band weight, the signal strength of the corresponding frequency band in the in-ear noise filtering result signal Smaller
  • Step 660 Use the in-ear noise filtering result signal as a feedback input of the in-ear noise signal in the control strategy of active noise cancellation.
  • the masking effect analyzer 510 includes an in-ear noise spectrum estimation module 511, a playback content spectrum estimation module 512, and a frequency band weight allocation module 513.
  • the ear noise frequency spectrum estimation module 511 is used to implement step 610 to calculate the frequency spectrum of the ear noise signal.
  • the played content frequency spectrum estimation module 512 is used to implement step 520 to calculate the frequency spectrum of the played content signal.
  • the frequency band weight allocation module 513 is used to implement steps 630 and 640, and determine the weights corresponding to the respective frequency spectrums of the ear noise signals according to the frequency spectrum of the ear noise signal and the frequency spectrum of the playing content signal.
  • the module 508 is used to implement steps 650 and 660, adjust e(n) according to the weight corresponding to each spectrum of the noise signal in the ear, attenuate the frequency with lower weight in e(n), and output the adjusted error signal q(n ).
  • step 610 in an implementation manner of steps 610 to 660, as shown in FIG. 5, in the process of implementing step 610, in an ideal state, y(n) and d(n) are completely canceled, and the ear noise spectrum is estimated
  • the input of block 511 is y(n).
  • y(n) and d(n) are not completely offset, and e(n) exists. Therefore, the input of the ear noise spectrum estimation module 511 is y(n) and e(n).
  • N in ( ⁇ , n) is smoothed based on the following formula:
  • ⁇ is a pre-defined constant. For example, in an application scenario, the value of ⁇ is 0.99.
  • the in-ear noise spectrum estimation module 511 is implemented, so as to obtain the calculation result of the in-ear noise spectrum according to y(n) and e(n).
  • the broadcast content spectrum estimation module 512 calculates the downlink broadcast content spectrum based on the following formula:
  • M d ( ⁇ , n) represents the energy spectrum of the instantaneous content; Represents the smoothed music energy spectrum; S( ⁇ ) is the transfer function from the earphone speaker to the microphone 202.
  • the play content frequency spectrum estimation module 512 is implemented, so as to obtain the calculation result of the play content frequency spectrum.
  • the input ear noise spectrum and the playback content spectrum of the frequency band weight allocation module 513 are: and Based on the above two values, it can be calculated which frequency bands can be reduced in weight (without cancellation) or which need to be cancelled by the ANC algorithm.
  • W( ⁇ ) is the weight of frequency ⁇
  • ⁇ and ⁇ are preset constants (in an application scenario, ⁇ and ⁇ can be set to 0.01 and 0.1, respectively).
  • ⁇ represents the masking effect of downstream content energy on noise.
  • the noise energy is less than 0.01 times the energy of the content to be played, it can be considered that the noise is masked (the user cannot hear it), and the corresponding frequency band weight can be set to ⁇ (0.1) at this time;
  • the input of the module 508 is the weights W( ⁇ ) and e(n), and the module 508 filters e(n) to reduce the frequency with lower weight in the signal. Attenuation, the output is the adjusted error signal q(n).
  • the filter parameter W(z) of the module 508 can be obtained according to the following method:
  • W [W( ⁇ 0 )W( ⁇ 1 )...W( ⁇ N-1 )] T represents the value of the weight at different frequencies, and W is obtained by formula 4.
  • the relationship between the output and input of the filter parameter W(z) can be expressed as:
  • q(n) as the feedback input of the module 507 is filtered e(n).
  • the frequency component of q(n) has been adjusted: the frequency band masked by the music energy will be attenuated; the other frequency bands remain unchanged. Therefore, when q(n) is used as the feedback input of the module 507, it can be ensured that the algorithm will pay more attention to the frequency band with high offsetting weight; thus, the energy spectrum of the residual noise can be dynamically adjusted, so that the frequency part that is not masked by the music is smaller; and The purpose of increasing the frequency part masked by music.
  • Figure 7 shows a schematic diagram of the comparison of the implementation effects of two active noise cancellation schemes.
  • the ordinate is energy and the abscissa is frequency.
  • 701 represents the downstream content
  • 702 represents the noise floor
  • 703 represents the masking curve caused by the downstream content
  • 704 represents the final in-ear noise using the ANC system shown in Figure 4
  • 705 represents The final in-ear noise using the ANC system shown in Figure 5.
  • 703 in the figure shows that the downstream content brings a masking curve, that is, if the noise is smaller than this curve, the user will not be subjectively perceivable.
  • the final in-ear noise using the ANC system shown in FIG. 4 is as shown in 704, which is slightly higher than the masking curve in the low frequency part, which is subjectively perceivable by the user.
  • the ANC system shown in Figure 5 can be better balanced. As shown in 705, 705 is controlled below 703, the high-frequency noise is slightly increased (still under the masking curve) and the low-frequency is further reduced. Therefore, compared with the ANC system shown in FIG. 4, the ANC system shown in FIG. 5 can better minimize the noise subjectively perceived by the user.
  • FIG. 8 is a structural diagram of an embodiment of an active noise cancellation device according to the present application.
  • active noise cancellation 800 includes:
  • a signal acquisition module 810 which is used to acquire a playback content signal
  • a shielding effect analysis module 820 which is used to determine the shielding effect of the playback content signal on the external noise signal
  • the active noise generation module 830 is used to generate an active noise signal for realizing active noise cancellation according to the masking effect generated by the playback content signal on the external noise signal, so that the frequency spectrum of the external noise signal reaching the human ear is controlled in the playback content signal Under the masking effect of the spectrum.
  • the device provided by an embodiment of the present application shown in FIG. 8 can be used to implement the technical solutions of the method embodiments of the embodiments of the present application. For its implementation principles and technical effects, further reference may be made to related descriptions in the method embodiments.
  • the active noise generating module 830 is configured to determine the strength of the active noise in the first frequency band according to the masking effect of the playing content signal on the external noise signal in the first frequency band.
  • the shielding effect analysis module 820 includes:
  • the ear noise signal acquisition module is used to acquire the ear noise signal.
  • the data input node 502 corresponds to the ear noise signal acquisition module;
  • the masking effect analyzer is used to determine the masking effect of the playback content signal on the ear noise signal. Taking the application scenario of the embodiment shown in FIG. 5 as an example, the module 510 corresponds to the masking effect analyzer.
  • the active noise generating module 830 includes:
  • the feedback input calculation module is used to determine the control strategy of active noise cancellation according to the masking effect of the content signal on the ear noise signal.
  • the feedback input of the noise signal in the ear is taken as an example in the application scenario of the embodiment shown in FIG. 5 ,
  • the module 508 corresponds to the feedback input calculation module;
  • Active noise generator which is used to generate active noise according to the control strategy of active noise cancellation based on the feedback input of the noise signal in the ear.
  • modules 507 and 504 correspond to active noise generation Part of the functional module of the device.
  • the feedback input calculation module is used to determine the in-ear noise signal in the first frequency band according to the masking effect of the playback content signal on the in-ear noise signal in the first frequency band. The strength of the feedback input of the noise signal.
  • the masking effect analyzer includes:
  • An ear noise spectrum estimation module which is used to calculate the spectrum of the ear noise signal according to the ear noise signal, such as the module 511 in the application scenario of the embodiment shown in FIG. 5;
  • the play content frequency spectrum estimation module is used to calculate the frequency spectrum of the play content signal according to the play content signal, such as the module 512 in the application scenario of the embodiment shown in FIG. 5;
  • the frequency band weight allocation module for example, the module 513 in the application scenario of the embodiment shown in FIG. 5, the frequency band weight allocation module is used for:
  • the frequency spectrum of the noise signal in the ear and the frequency spectrum of the playback content signal determine the masking effect of the playback content signal on the ear noise signal in each frequency band;
  • the frequency band weight corresponding to different frequency bands of the ear noise signal is determined according to the masking effect of the frequency spectrum of the playing content signal on the frequency spectrum of the ear noise signal.
  • the feedback input calculation module is used to:
  • the filter the in-ear noise signal according to the frequency band weights corresponding to different frequency bands of the in-ear noise signal to obtain the in-ear noise filtering result signal.
  • the smaller the frequency band weight the smaller the signal strength of the corresponding frequency band in the in-ear noise filtering result signal;
  • the in-ear noise filtering result signal is used as the feedback input of the in-ear noise signal in the control strategy of active noise cancellation.
  • the improvement of a technology can be clearly distinguished between hardware improvements (for example, improvements to the circuit structure of diodes, transistors, switches, etc.) or software improvements (improvements to the method and process). ).
  • hardware improvements for example, improvements to the circuit structure of diodes, transistors, switches, etc.
  • software improvements improvements to the method and process.
  • the improvement of many methods and processes of today can be regarded as a direct improvement of the hardware circuit structure.
  • Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be realized by the hardware entity module.
  • a programmable logic device for example, a Field Programmable Gate Array (Field Programmable Gate Array, FPGA)
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • HDL Hardware Description Language
  • ABEL Advanced Boolean Expression Language
  • AHDL Altera Hardware Description Language
  • HDCal JHDL
  • Lava Lava
  • Lola MyHDL
  • PALASM RHDL
  • VHDL Very-High-Speed Integrated Circuit Hardware Description Language
  • Verilog Verilog
  • the controller can be implemented in any suitable manner.
  • the controller can take the form of, for example, a microprocessor or a processor and a computer-readable medium storing computer-readable program codes (such as software or firmware) executable by the (micro)processor. , Logic gates, switches, application specific integrated circuits (ASICs), programmable logic controllers and embedded microcontrollers. Examples of controllers include but are not limited to the following microcontrollers: ARC625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicon Labs C8051F320, the memory controller can also be implemented as part of the memory control logic.
  • controllers in addition to implementing the controller in a purely computer-readable program code manner, it is entirely possible to program the method steps to make the controller use logic gates, switches, application specific integrated circuits, programmable logic controllers, and embedded logic.
  • the same function can be realized in the form of a microcontroller or the like. Therefore, such a controller can be regarded as a hardware component, and the devices included in it for realizing various functions can also be regarded as a structure within the hardware component. Or even, the device for realizing various functions can be regarded as both a software module for realizing the method and a structure within a hardware component.
  • each module/unit is only a division of logical functions.
  • the functions of each module/unit can be implemented in the same or multiple software and/or hardware.
  • the devices proposed in the embodiments of the present application may be fully or partially integrated into one physical entity during actual implementation, or may be physically separated.
  • these modules can all be implemented in the form of software called by processing elements; they can also be implemented in the form of hardware; part of the modules can be implemented in the form of software called by the processing elements, and some of the modules can be implemented in the form of hardware.
  • the detection module may be a separately established processing element, or it may be integrated in a certain chip of the electronic device.
  • the implementation of other modules is similar.
  • all or part of these modules can be integrated together or implemented independently.
  • each step of the above method or each of the above modules can be completed by an integrated logic circuit of hardware in the processor element or instructions in the form of software.
  • the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or one or more digital signal processors ( Digital Singnal Processor, DSP, or, one or more Field Programmable Gate Array (FPGA), etc.
  • ASICs application specific integrated circuits
  • DSP Digital Singnal Processor
  • FPGA Field Programmable Gate Array
  • these modules can be integrated together and implemented in the form of a System-On-a-Chip (SOC).
  • SOC System-On-a-Chip
  • An embodiment of the present application also proposes an electronic device.
  • the electronic device includes a memory for storing computer program instructions and a processor for executing the program instructions.
  • the computer program instructions are executed by the processor, the electronic device is triggered.
  • the device executes the method steps described in the embodiments of the present application.
  • the electronic device shown in an embodiment of the present application may be an auxiliary device of the earphone or a circuit device built in the earphone.
  • the device can be used to execute the functions/steps in the methods provided in the embodiments of the present application.
  • An embodiment of the present application also proposes a headset.
  • the headset includes a microphone, a speaker, an audio signal input interface, a memory for storing computer program instructions, and a processor for executing program instructions.
  • the processor executes, the electronic device is triggered to execute the method steps described in the embodiments of the present application.
  • the foregoing one or more computer programs are stored in the foregoing memory, and the foregoing one or more computer programs include instructions.
  • the foregoing instructions are executed by the foregoing device/headset, the foregoing device/headset
  • the headset executes the method steps described in the embodiments of the present application.
  • the processor of the electronic device/headphone may be an on-chip device SOC, and the processor may include a central processing unit (CPU), and may further include other types of processors .
  • the processor of the electronic device may be a PWM control chip.
  • the processor involved may include, for example, a CPU, a DSP, a microcontroller, or a digital signal processor, and may also include a GPU, an embedded neural network processor (Neural-network Process Units, NPU). ) And image signal processing (Image Signal Processing, ISP), the processor may also include necessary hardware accelerators or logic processing hardware circuits, such as ASIC, or one or more integrated circuits used to control the execution of the program of the technical solution of this application Wait.
  • the processor may have a function of operating one or more software programs, and the software programs may be stored in a storage medium.
  • the memory of the electronic device/headphone may be a read-only memory (read-only memory, ROM), other types of static storage devices that can store static information and instructions, and random access memory ( Random access memory, RAM) or other types of dynamic storage devices that can store information and instructions, and can also be electrically erasable programmable read-only memory (EEPROM), compact disc read -only memory, CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or can be used for Any computer-readable medium that carries or stores desired program codes in the form of instructions or data structures and can be accessed by a computer.
  • ROM read-only memory
  • RAM random access memory
  • EEPROM electrically erasable programmable read-only memory
  • CD-ROM compact disc read -only memory
  • optical disc storage including compact discs, laser discs, optical discs, digital universal discs, Blu-ray discs,
  • the processor and the memory may be combined into a processing device, and more commonly, components are independent of each other.
  • the processor is used to execute the program code stored in the memory to implement the method described in the embodiment of the present application.
  • the memory may also be integrated in the processor, or independent of the processor.
  • equipment, device, device, module, or unit illustrated in the embodiments of the present application may be specifically implemented by a computer chip or entity, or implemented by a product with a certain function.
  • the embodiments of the present application may be provided as methods, devices, or computer program products. Therefore, the present invention may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes.
  • any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application.
  • an embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when it runs on a computer, the computer executes the method provided in the embodiment of the present application.
  • An embodiment of the present application also provides a computer program product.
  • the computer program product includes a computer program that, when running on a computer, causes the computer to execute the method provided in the embodiment of the present application.
  • These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing equipment to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing equipment are generated It is a device that realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device.
  • the device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment.
  • the instructions provide steps for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • At least one refers to one or more
  • multiple refers to two or more.
  • “And/or” describes the association relationship of the associated objects, indicating that there can be three types of relationships, for example, A and/or B, which can mean the situation where A exists alone, A and B exist at the same time, and B exists alone. Among them, A and B can be singular or plural.
  • the character “/” generally indicates that the associated objects before and after are in an “or” relationship.
  • the following at least one item” and similar expressions refer to any combination of these items, including any combination of single items or plural items.
  • At least one of a, b, and c can mean: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single, or There can be more than one.
  • the terms “include”, “include” or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, product, or equipment including a series of elements includes not only those elements, but also Other elements that are not explicitly listed, or also include elements inherent to such processes, methods, commodities, or equipment. If there are no more restrictions, the element defined by the sentence “including a" does not exclude the existence of other identical elements in the process, method, commodity, or equipment that includes the element.
  • This application may be described in the general context of computer-executable instructions executed by a computer, such as a program module.
  • program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types.
  • This application can also be practiced in distributed computing environments. In these distributed computing environments, tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

Les modes de réalisation de la présente demande concernent un procédé de mise en œuvre d'une annulation active de bruit, un appareil, et un dispositif électronique. Ledit procédé comprend les étapes consistant à : acquérir un signal de contenu de lecture ; déterminer, en fonction du signal de contenu de lecture, l'effet de masquage généré par le signal de contenu de lecture sur un signal de bruit externe ; et en fonction de l'effet de masquage généré par le signal de contenu de lecture sur le signal de bruit externe, générer un signal de bruit actif pour mettre en œuvre une annulation active de bruit, le signal de bruit actif étant utilisé pour commander le spectre de fréquence du signal de bruit externe arrivant à une oreille humaine pour qu'il soit au-dessous de l'effet de masquage du spectre de fréquence du signal de contenu de lecture. Par rapport à l'état de la technique, le procédé selon les modes de réalisation de la présente demande améliore l'effet de réduction de bruit.
PCT/CN2021/078951 2020-03-03 2021-03-03 Procédé de mise en œuvre d'une annulation active de bruit, appareil, et dispositif électronique WO2021175267A1 (fr)

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CN202010140916.2 2020-03-03

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