WO2020132347A1 - Systèmes et procédés robustes d'élimination adaptative du bruit - Google Patents

Systèmes et procédés robustes d'élimination adaptative du bruit Download PDF

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Publication number
WO2020132347A1
WO2020132347A1 PCT/US2019/067644 US2019067644W WO2020132347A1 WO 2020132347 A1 WO2020132347 A1 WO 2020132347A1 US 2019067644 W US2019067644 W US 2019067644W WO 2020132347 A1 WO2020132347 A1 WO 2020132347A1
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Prior art keywords
noise
signal
cancellation
adaptive
operable
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PCT/US2019/067644
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English (en)
Inventor
Ali Abdollahzadeh MILANI
Govind Kannan
Trausti Thormundsson
Hari Hariharan
Mark Miller
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Synaptics Inc
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Synaptics Inc
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Priority to CN201980083949.3A priority Critical patent/CN113196382B/zh
Priority to JP2021535877A priority patent/JP7254935B2/ja
Priority to EP19900182.7A priority patent/EP3899926B1/fr
Priority to KR1020217022219A priority patent/KR102697308B1/ko
Publication of WO2020132347A1 publication Critical patent/WO2020132347A1/fr
Anticipated expiration legal-status Critical
Priority to JP2021141557A priority patent/JP7282842B2/ja
Priority to JP2021141611A priority patent/JP7167273B2/ja
Ceased legal-status Critical Current

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    • 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
    • G10K11/1787—General system configurations
    • G10K11/17879—General system configurations using both a reference signal and an error signal
    • G10K11/17881—General system configurations using both a reference signal and an error signal the reference signal being an acoustic signal, e.g. recorded with a microphone
    • 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
    • G10K11/1781—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 characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
    • G10K11/17821—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 characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
    • G10K11/17823—Reference signals, e.g. ambient acoustic environment
    • 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
    • G10K11/1783—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 handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions
    • G10K11/17833—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 handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions by using a self-diagnostic function or a malfunction prevention function, e.g. detecting abnormal output levels
    • G10K11/17835—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 handling or detecting of non-standard events or conditions, e.g. changing operating modes under specific operating conditions by using a self-diagnostic function or a malfunction prevention function, e.g. detecting abnormal output levels using detection of abnormal input signals
    • 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
    • G10K11/17853—Methods, e.g. algorithms; Devices of the filter
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; 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
    • 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
    • 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
    • G10K2210/3028—Filtering, e.g. Kalman filters or special analogue or digital filters
    • 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
    • G10K2210/3035—Models, e.g. of the acoustic system
    • 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
    • G10K2210/3045—Multiple acoustic inputs, single acoustic output
    • 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
    • G10K2210/3056—Variable gain
    • 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
    • G10K2210/50—Miscellaneous
    • G10K2210/504—Calibration
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS
    • H04R2460/00—Details of hearing devices, i.e. of ear- or headphones covered by H04R1/10 or H04R5/033 but not provided for in any of their subgroups, or of hearing aids covered by H04R25/00 but not provided for in any of its subgroups
    • H04R2460/01—Hearing devices using active noise cancellation

Definitions

  • the present application relates generally to noise cancelling systems and methods, and more specifically, for example, to adaptive noise cancelling systems and methods for use in headphones (e.g., circum-aural, supra-aural and in-ear types), earbuds, hearing aids, and other personal listening devices.
  • headphones e.g., circum-aural, supra-aural and in-ear types
  • earbuds e.g., earbuds
  • hearing aids e.g., hearing aids, and other personal listening devices.
  • Adaptive noise cancellation (ANC) systems commonly operate by sensing noise through a reference microphone and generating a corresponding anti-noise signal that is approximately equal in magnitude, but opposite in phase, to the sensed noise.
  • the noise and anti-noise signal cancel each other acoustically, allowing the user to hear only a desired audio signal.
  • a low-latency, programmable filter path from the reference microphone to a loud-speaker that outputs the anti-noise signal may be implemented.
  • conventional anti-noise filtering systems do not completely cancel all noise, leaving residual noise and/or generating audible artefacts that may be distracting to the user. There is therefore a continued need for improved adaptive noise cancellation systems and methods for headphones, earbuds and other personal listening devices.
  • adaptive noise cancellation systems and methods include improved transient active noise detection.
  • an adaptive noise cancellation system includes a reference sensor operable to sense environmental noise and generate a corresponding reference signal, an error sensor operable to sense noise in a noise cancellation zone and generate a corresponding error signal, a noise cancellation filter operable to receive the reference signal and generate an anti-noise signal to cancel the environmental noise in the cancellation zone, an adaptation module operable to receive the reference signal and the error signal and adaptively adjust the anti-noise signal, and a transient activity detection module operable to receive the reference signal, detect a transient noise event and selectively disable the adaptation module during the detected transient noise event.
  • the adaptation module comprises an adaptive gain control block operable to update the variable gain component.
  • Inputs to the adaptive gain control block may be conditioned using programmable filters operable to protect against low frequency transients and/or high frequency distractors in the environmental noise.
  • the programmable filters may include a low pass filter that filters out high frequencies determined to be in a range that creates constructive interference between the cancellation zone and the eardrum reference point, and/or a high pass filter that filters out low frequencies determined to be in a range that cannot be heard by a user of the noise cancellation system.
  • the adaptation module may be tuned to cancel noise at the eardrum reference point, using the error signal sensed in the noise cancellation zone.
  • a method includes receiving a reference signal from a first sensor, the reference signal representing external noise, processing the reference signal through a noise cancellation path comprising a noise cancellation filter and a variable gain component, to generate an anti-noise signal, receiving an error signal from a second sensor, the error signal representing noise in a noise cancellation zone and adaptively adjusting the noise cancellation filter in response to the reference signal, the error signal and an adaptive gain control process to cancel the external noise at an eardrum reference point.
  • the method may further include conditioning inputs to the adaptive gain control process using programmable filters to protect against low frequency transients and/or high frequency distractors in the external noise.
  • the conditioning may further include low pass filtering out high frequencies determined to be in a range that (i) creates constructive interference between the cancellation zone and the eardrum reference point and (ii) differs in noise cancellation performance between the cancellation zone and the eardrum reference point , and/or high pass filtering out low frequencies determined to be in a range that cannot be heard by a user.
  • the method may further include tuning the noise cancellation path to cancel noise at the eardrum reference point, using the error signal sensed in the noise cancellation zone.
  • FIG. 1 illustrates an adaptive noise cancellation headset in accordance with one or more embodiments of the present disclosure.
  • FIG. 2 illustrates an adaptive noise cancellation system in accordance with one or more embodiments of the present disclosure.
  • FIG. 3 illustrates an adaptive noise cancellation system, including a noise amplification control subsystem, in accordance with one or more embodiments of the present disclosure.
  • FIGs. 4A-B illustrate an adaptive noise cancellation system, including an adaptive gain control subsystem, in accordance with one or more embodiments of the present disclosure.
  • FIG. 5 illustrates a transient activity detector for an adaptive noise cancellation system in accordance with one or more embodiments of the present disclosure.
  • An ANC system for a headset or other personal listening device may include a noise sensing reference microphone for sensing environmental noise, an error microphone for sensing an acoustic mixture of the noise and anti-noise generated by the ANC device, and a signal processing sub-system that generates the anti noise to cancel the environmental noise.
  • the signal processing sub-system may be configured to continually adjust the anti-noise signal to achieve consistent cancellation performance across users, environmental noise conditions, and device units.
  • the adaptation systems and methods disclosed herein improve cancellation of environmental noise and reduce perceptible adaptation artefacts.
  • the present disclosure addresses numerous challenges associated with general purpose adaptive noise cancellation systems, including unwanted noise amplification (e.g., due to constructive interference between the environmental noise and the anti-noise signal), noise cancellation performance during transient noise events, and reduction of audible artefacts produced during adaptation.
  • unwanted noise amplification e.g., due to constructive interference between the environmental noise and the anti-noise signal
  • noise cancellation performance during transient noise events
  • reduction of audible artefacts produced during adaptation e.g., due to constructive interference between the environmental noise and the anti-noise signal
  • the systems and methods disclosed herein provide robust, practical ANC solutions that generalize well to various listening devices and form- factors.
  • systems and methods are disclosed to reduce noise amplification that occurs when there is constructive interference between noise and anti-noise within a frequency range.
  • Adaptive methods are disclosed which include defining a composite error signal that incorporates a noise shaping filter and deriving a new weight update rule for controlling the adaptation.
  • the solutions disclosed herein are adaptive, computationally inexpensive, and may be implemented as an improvement to conventional adaptive frameworks.
  • systems and methods disclosed herein reduce adaptation artefacts that may be perceived by a listener.
  • low sound pressure level (SPL) artefacts may be present due to the proximity of the anti-noise source to the listener’s ear drum. It is further recognized that some artefacts are caused by wideband fluctuations in the magnitude and phase response of the anti-noise path.
  • Improved adaptive systems and methods disclosed herein include an adaptive gain element in the anti-noise signal path to generate a robust error correcting signal.
  • systems and methods disclosed herein provide improved robustness to transient noise events.
  • Many intermittent and unexpected noise events e.g., head/jaw movement that moves the microphones relative to the noise, closing a door, turbulence during air travel, etc.
  • TAD transient activity detector
  • an adaptive noise cancelling system 100 includes an audio device, such as headphone 110, and audio processing circuitry, such as digital signal processor (DSP) 120, a digital to analog converter (DAC) 130, an amplifier 132, a reference microphone 140, a loudspeaker 150, an error microphone 162, and other components.
  • DSP digital signal processor
  • DAC digital to analog converter
  • a listener may hear external noise d(n) through the housing and components of the headphone 110.
  • the reference microphone 140 senses the external noise, producing a reference signal x(n) which is fed through an analog- to-digital converter (ADC) 142 to the DSP 120.
  • the DSP 120 generates an anti-noise signal y(n), which is fed through the DAC 130 and the amplifier 132 to the loudspeaker 150 to generate anti-noise in a noise cancellation zone 160.
  • the noise d(n ) will be cancelled in the noise cancellation zone 160 when the anti-noise is equal in magnitude and opposite in phase to the noise d(ri) in the noise cancellation zone 160.
  • the resulting mixture of noise and anti noise is captured by the error microphone 162 which generates an error signal e(n) to measure the effectiveness of the noise cancellation.
  • the error signal e(n) is fed through ADC 164 to the DSP 120, which adjusts the magnitude and phase of the anti-noise signal y(n) to minimize the error signal e(n ) within the cancellation zone 162 (e.g., drive the error signal e(n) to zero).
  • the loudspeaker 150 may also generate desired audio (e.g., music) which is received by the error microphone 162 and removed from the error signal e(n ) during processing.
  • desired audio e.g., music
  • FIG. 2 illustrates a robust, configurable adaptive noise cancelling system 200 that achieves improved noise cancellation performance, substantially free of audio artefacts.
  • the system 200 senses environmental noise at an external microphone (e.g., microphone 140 of FIG. 1) which produces an external noise signal, x(n).
  • the environmental noise also passes through a noise path P(z), including the housing and components of the listening device, where it is received as din ) at an error microphone (e.g., error microphone 162).
  • An adaptive filter 202 receives the external noise signal x(n) and estimates the noise path P(z) to produce an anti-noise signal yin) for cancelling the noise signal din).
  • the anti-noise signal yin) is gain adjusted by adaptive gain control 204 and further modified by system 206 to account for the secondary path S(z) between the adaptive filter 202 and the error microphone.
  • the system 200 further includes an adaptation block 220, which includes a noise amplification control (NAC) block 222 and an adaptive gain control block (ADG) 224.
  • NAC noise amplification control
  • ADG adaptive gain control block
  • the NAC 222 is operable to minimize frequency dependent
  • the system 200 further includes a transient activity detector (TAD)
  • the filters 208, 210, 212,228, 230, 232 provide additional filtering as described further herein with reference to FIGs. 3-5.
  • a goal of many adaptive noise cancellation systems is to estimate the noise at the ear drum of the listener. This is often accomplished by using the noise measurements from the reference and error microphones, which are located a small distance from the ear drum. The estimated noise is then inverted into an anti-noise signal that destructively interferes with the actual noise leading to cancellation of the noise.
  • the anti noise signal is produced using a filter that adapts to estimate the amplitude and phase shift for each frequency to align the anti-noise with the noise.
  • the destructive interference may be maintained in certain bandwidths, while constructive interference may be experienced beyond these bandwidths.
  • This constructive interference may be perceived by the listener as a narrowband amplification of the ambient noise (e.g., a“hiss” sound). Reducing or eliminating the“hiss” sound without sacrificing the depth and bandwidth of cancellation is a challenge in many ANC product designs. In conventional, low power embedded systems (e.g., consumer headphones) reduction of hiss may be computationally prohibitive and hard to control and tune.
  • the NAC sub-system 300 of FIG. 3 provides an approach for controlling hiss and related sound artefacts that adaptively controls the noise amplification in hiss regions, while efficiently achieving cancellation in non-hiss regions.
  • An NAC block 320 is configured to define a composite error signal that incorporates a noise-shaping filter C(z) (e.g., noise shaping block 308 and noise shaping block 310) and derive new weight update rules for the adaptive filter 302.
  • a least mean squares (LMS) framework may be used, including a composite error signal that incorporates the noise-shaping filter that is used to derive a new weight update rule.
  • LMS least mean squares
  • the NAC block 320 updates the adaptive filter 302, W(z), based on the error signal e(n ) and a filtered version of the reference signal, x(n).
  • the NAC block 320 receives a signal x x ( n ) from filter 312, S(z), and signal x 2 (n) from filter 308, C(z).
  • the cost function minimizes the mean square error: Minimize E ⁇ e 2 (n ) + yE ⁇ e 2 (n) ⁇ .
  • the anti-noise signal is filtered using a noise-shaping filter C ⁇ z ) (such as noise-shaping filter 308 and noise-shaping filter 310) which may be configured to enhance signals in the hiss region.
  • a noise-shaping filter C ⁇ z such as noise-shaping filter 308 and noise-shaping filter 310) which may be configured to enhance signals in the hiss region.
  • the hiss region for a particular headset may be detected, and the noise-shaping filter C(z) may be tuned, in a test environment prior to distribution.
  • the hiss level may be detected during operation and the noise-shaping filter C(z) may be adaptively tuned during operation. The hiss level may be determined, for example, by comparing the error signal, e(ri), to the noise signal to determine regions of constructive interference.
  • the cost function is adapted to minimize E ⁇ e 2 (n) + gE ⁇ b 2 (h) ⁇ where E ⁇ . ⁇ is the expectation operator, y is a constant that controls the aggressiveness, and e 1 (n) is noise-shaped anti-noise signal, ’(n).
  • a weight update rule is derived by the NAC 320 based on gradient methods. Embodiments of the method can be applied to filtered least mean squared approaches, adaptive feedback, adaptive hybrid approaches and other noise cancellation approaches. In various embodiments, the adaptation is controlled in a way that minimizes noise amplification by defining a cost function optimization and deriving an adaptive algorithm that can achieve it.
  • an adaptive gain control block 420 continuously updates a gain element 404 to adjust for variations in the various coupling paths.
  • the inputs to the ADG are conditioned using a programmable filter BQ(Z) (e.g., programmable filter 408 and programmable filter 410), which is designed to protect against low frequency transients and high frequencies distractors in the environment.
  • the filter BG(Z) may comprise a low pass filter and/or a band pass filter that further filters out very low frequencies (e.g., ⁇ 20 Hz that cannot be heard out of a
  • an ANC system in a headphone or other personal listening device uses a noise sensing reference microphone, an error microphone, and a DSP sub-system that generates the appropriate anti noise to cancel the noise field as measured by the error microphone. This results in a cancellation zone where the degree of cancellation is maximized at the error microphone location and degrades inversely proportional to the wavelength.
  • FIGs. 4A-B address these and other issues by maximizing the cancellation bandwidth at the eardrum during the tuning stage and formulating an adaptive approach that uses the error microphone to adapt to user specific characteristics during operation.
  • the error microphone location be termed as ERP (Error Reference Point) and the ear-drum location be termed as DRP (Drum Reference Point).
  • ERP Error Reference Point
  • DRP Drum Reference Point
  • the error microphone is a good indicator of low frequency cancellation at DRP and hence a robust error correcting signal can be derived from a low-passed version of the error microphone signal. This correcting signal may then be used to adapt a gain in the anti-noise signal path.
  • the ERP is used to provide a practical signal that is roughly indicative of the cancellation performance at the DRP.
  • the adaptive algorithm attempts to minimize the ERP signal which results in (i) diminished cancellation at high frequency signals at the DRP, and (ii) higher possibility of hiss sounding artefacts due to constructive interference of high frequencies at the DRP.
  • adaptive algorithms are employed that use the transfer function from ERP to DRP.
  • FIG 4A illustrates a calibration and tuning arrangement for the adaptive gain subsystem.
  • the ANC filter 402 is optimized to cancel noise at the DRP during an initial tuning stage.
  • the device is placed on a head and torso simulator which has a second error microphone at the DRP.
  • P E2D (Z), S E2D (Z) model the ERP to DRP transfer functions in the denoted acoustic paths.
  • the system can then be optimized using least mean squares block 422 to perform ANC tuning to derive an optimum W DRP (z), based on the error signal, e'(n). Tuning in this manner helps achieve extended cancellation bandwidth and better performance in high frequency bands.
  • the adaptive algorithm is set-up to continuously update a gain element 404, G, that empowers the proposed approach to adjust for variations in the various coupling paths.
  • the signal is low pass filtered and gain adjusted for good low frequency cancellation.
  • the inputs to the adaptive algorithms are conditioned using a
  • B G (Z) which is programmed such that the ERP signal can mimic the cancellation performance at DRP. Additionally, B G (z ), can be programmed to optimize performance during low frequency transients and high frequency distractors in the environment.
  • FIGs. 4A-B are example implementations, and that the approaches disclosed therein can be modified for adaptive versions of feedback, feedforward and hybrid ANC solutions.
  • a purposefully constrained filter element instead of adapting a gain element, can be adapted.
  • the computed gain can have an additional non-linear processing to further increase the robustness.
  • a transient activity detector (TAD) 500 are illustrated.
  • the TAD 500 detects changes in the sound environment and causes an update process to be temporarily halted when sudden/intermittent noise activity is detected.
  • the unwanted adaptation artefacts in the anti-noise signal e.g., artefacts that might result from rapid adaptation
  • transient events might include talking by the headset wearer, honking car horns, head movements, and other similar sound events.
  • a separate set of TAD calculations may be performed on the inputs from each microphone in an ANC system (e.g., a total of 4 microphones in a headset including left error microphone, left outside microphone, right error microphone, right outside microphone).
  • a detection state machine 514 is used to assert and de-assert the“detect” output.
  • the detect output will be asserted when the smoothed instantaneous magnitude (output A from the LPF 506) is greater than the scaled average noise magnitude (C in disclosure).
  • a release delay counter will cause the detect output to persist for a programmable period of time before being de-asserted.
  • audio samples 502 from a microphone are received and fed through an absolute value block 504 followed by a low pass filter 506 to generate the smoothed instantaneous magnitude A.
  • the output A comprises an average magnitude of the audio samples 502 over a certain period of time and is representative of an instantaneous noise value.
  • the value A is provided to a detect state machine 514, and to a low pass filter 508 with saturation which has an output B representing an average of the A values over a second period of time (i.e., average noise magnitude).
  • a programmable scale factor defines a threshold for detecting transients (e.g., 5 times the average noise magnitude) and is multiplied at component 516 by the average noise magnitude to produce a second input C to the detect state machine 514.
  • the detect state machine 514 is operable to instruct the adaptation processing (e.g., adaptation block 220 of FIG. 2) to stop.
  • the adaptation will freeze until the instantaneous noise magnitude A is below the scaled average noise magnitude C.
  • filter 202 and adaptive gain control 204 will continue to modify the noise input x(n) using the most recent weights and gain values.
  • a programmable release delay counter is operable to maintain the detect output for a programmable period of time before being de-asserted.
  • attack and release component 512 is operable to control how quickly the low pass filter 508 rises and falls in response to the instantaneous noise magnitude A.
  • a programmable attack time constant defines a time it takes for the average noise magnitude to rise when the instantaneous noise is greater than the average noise magnitude B.
  • a programmable release time constant defines a time it takes for the average noise magnitude B to fall when the instantaneous noise magnitude A is lower than the average noise magnitude B.
  • a robust adaptive noise cancellation system comprises a reference sensor operable to sense environmental noise and generate a corresponding reference signal, an error sensor operable to sense noise in a noise cancellation zone and generate a corresponding error signal, a noise cancellation filter operable to receive the reference signal and generate an anti noise signal to cancel the environmental noise in the cancellation zone, an adaptation module operable to receive the reference signal and the error signal and adaptively adjust the antinoise signal, and a transient activity detection module operable to receive the reference signal, detect a transient noise event and selectively disable the adaptation module during the detected transient noise event.
  • the transient noise event may include talking by an operator of the adaptive noise cancellation system
  • the transient activity detection module may comprise a state machine operable to detect the transient noise event and transmit a state command to the adaptation module.
  • the adaptation module is operable to receive the state command and enable and/or disable the adaptation in accordance therewith.
  • the transient noise event is detected if a smoothed instantaneous magnitude of a received signal is greater than a scaled average noise magnitude of the received signal, and after an end of the transient noise event is detected, a delay is applied before enabling adaptation.
  • the end of the transient noise event may be detected when the smoothed instantaneous magnitude falls below the scaled average noise magnitude.
  • the scaled average noise magnitude may be derived by applying a programmable scale factor to the average noise magnitude.
  • the noise cancellation filter is further operable to generate the anti-noise signal in accordance with stored filter coefficients
  • the adaptation module is further operable to modify the stored filter coefficients.
  • the adaptive noise cancellation system further includes a loudspeaker operable to receive the anti-noise signal and generate anti-noise to cancel the noise in a cancellation zone.
  • the adaptation module further comprises a noise amplification control subsystem, and/or an adaptive gain control subsystem.
  • a robust active noise cancellation method includes receiving a reference signal from a first sensor, the reference signal representing external noise, processing the reference signal through a noise cancellation filter to generate an anti- noise signal, outputting the anti-noise signal to a loudspeaker, receiving an error signal from a second sensor, the error signal representing noise in a noise cancellation zone, adaptively adjusting the noise cancellation filter in response to the reference signal the, the error signal and a transient noise detection state, and detecting a transient noise event and selectively setting the transient noise detection state to enable and disable, respectively, the adaptively adjusting the noise cancellation.
  • setting the transient noise detection state comprises transmitting a state command, wherein the adaptively adjusting the noise cancellation filter further comprises receiving the state command and enabling and disabling, respectively, the adaptation in accordance therewith.
  • Detecting the transient noise event may comprise comparing a smoothed instantaneous magnitude of the received signal to a scaled average noise magnitude of the received signal.
  • a delay is applied before enabling adaptation.
  • the transient noise event is detected when the smoothed instantaneous magnitude falls below the scaled average noise magnitude.
  • the scaled average noise magnitude may be derived by applying a programmable scale factor to the average noise magnitude.
  • Adaptively adjusting the noise cancellation filter comprises a noise amplification control process and/or an adaptive gain control process.
  • an adaptive noise cancelling system with noise amplification control comprises a reference sensor operable to sense environmental noise and generate a corresponding reference signal, an error sensor operable to sense noise in a noise cancellation zone and generate a corresponding error signal, a noise cancellation filter operable to receive the reference signal and generate an anti-noise signal to cancel the environmental noise in the cancellation zone, and an adaptation module operable to receive the reference signal and the error signal and adaptively adjust the anti-noise signal.
  • the adaptation module comprises a noise amplification control module operable to adaptively control noise amplification in at least one hiss region of the anti-noise signal, while achieving cancellation in non-hiss regions of the anti-noise signal.
  • the hiss region of the anti-noise signal includes frequency bandwidths in which constructive interference between the environmental noise and the anti-noise signal is detected.
  • the noise amplification control module is operable to define a composite error signal that incorporates a noise-shaping filter and derives new weight update rules for the noise cancellation filter, and/or derive new weight update rules using a least mean squared algorithm.
  • the noise-shaping filter may be adaptively timed during operation, and/or the weight update rules are derived using gradients.
  • the noise amplification control adapts a cost function to minimize E ⁇ e 2 (n ) + gE ⁇ b ⁇ ) ⁇ where E ⁇ . ⁇ is the expectation operator, y is a constant that controls the aggressiveness, and e t (n) is noise-shaped anti-noise signal, ’(n).
  • a transient activity detection module may be provided to receive the reference signal, detect a transient noise event and selectively disable the adaptation module during the detected transient noise event.
  • the noise cancellation filter may be further operable to generate the anti-noise signal in accordance with stored filter coefficients; and wherein the adaptation module is further operable to modify the stored filter coefficients.
  • the system may further comprise a loudspeaker operable to receive the anti-noise signal and generate anti-noise to cancel the noise in a cancellation zone.
  • a method for adaptive noise cancelling with noise amplification control comprises receiving a reference signal from a first sensor, the reference signal representing external noise, processing the reference signal through a noise
  • the noise amplification control process comprises adaptively controlling noise amplification in at least one hiss region of the anti-noise signal, while achieving cancellation in non-hiss regions of the anti-noise signal.
  • the hiss region of the anti-noise signal includes frequency bandwidths in which constructive interference between the environmental noise and the anti-noise signal is detected.
  • the noise amplification control process may further comprise defining a composite error signal that incorporates a noise-shaping filter and deriving new weight update rules for the noise cancellation filter, deriving new weight update rules using a least mean squared algorithm, adaptively tuning the noise-shaping filter during operation, and/or adapting a cost function to minimize E ⁇ e 2 (n ) + gE ⁇ b (n) ⁇ where E ⁇ . ⁇ is the expectation operator, y is a constant that controls the aggressiveness, and b (n) is noise-shaped anti-noise signal, y’ ( n ).
  • the weight update rules may be derived using gradients.
  • the method further comprises detecting a transient noise event and selectively setting a transient noise detection state to enable and disable, respectively, the adaptively adjusting the noise cancellation filter, and/or generating the anti-noise signal in accordance with stored filter coefficients.
  • an extended bandwidth adaptive noise cancelling system comprises a reference sensor operable to sense environmental noise and generate a corresponding reference signal, an error sensor operable to sense noise in a noise cancellation zone and generate a corresponding error signal, a noise cancellation path comprising a noise cancellation filter and a variable gain component, the noise cancellation path operable to receive the reference signal and generate an anti-noise signal to cancel the environmental noise at an eardrum reference point, and an adaptation module operable to receive the reference signal and the error signal and adaptively adjust weights of the noise cancellation filter and/or the variable gain component.
  • the adaptation module may comprise an adaptive gain control block operable to update the variable gain component.
  • inputs to the adaptive gain control block are conditioned using programmable filters operable to protect against low frequency transients and/or high frequency distractors in the environmental noise, and/or the programmable filters comprise a low pass filter that filters out high frequencies determined to be in a range that creates constructive interference between the cancellation zone and the eardrum reference point.
  • the programmable filters may comprise a high pass filter that filters out low frequencies determined to be in a range that cannot be heard by a user of the noise cancellation system.
  • the adaptation module is tuned to cancel noise at the eardrum reference point, using the error signal sensed in the noise cancellation zone.
  • the adaptation module may further comprise a noise amplification control module operable to adaptively control noise amplification in at least one hiss region of the anti-noise signal, while achieving cancellation in non-hiss regions of the anti-noise signal.
  • the hiss region of the anti-noise signal may include frequency bandwidths in which constructive interference between the environmental noise and the anti-noise signal is detected.
  • the extended bandwidth adaptive noise cancelling system further comprises a transient activity detection module operable to receive the reference signal, detect a transient noise event and selectively disable the adaptation module during the detected transient noise event.
  • the noise cancellation filter may be further operable to generate the anti-noise signal in accordance with stored filter coefficients; and wherein the adaptation module is further operable to modify the stored filter coefficients.
  • the extended bandwidth adaptive noise cancelling system may further comprise a loudspeaker operable to receive the anti-noise signal and generate anti-noise to cancel the noise in a cancellation zone.
  • a method of operating an extended bandwidth adaptive noise cancelling system comprises receiving a reference signal from a first sensor, the reference signal representing external noise, processing the reference signal through a noise cancellation path comprising a noise cancellation filter and a variable gain component, to generate an anti-noise signal, receiving an error signal from a second sensor, the error signal representing noise in a noise cancellation zone, and adaptively adjusting the noise cancellation filter in response to the reference signal the, the error signal and an adaptive gain control process to cancel the external noise at an eardrum reference point.
  • the method of operating an extended bandwidth adaptive noise cancelling system further comprises conditioning inputs to the adaptive gain control process using programmable filters to protect against low frequency transients and/or high frequency distractors in the external noise, wherein the conditioning further comprises low pass filtering out high frequencies determined to be in a range that creates constructive interference between the cancellation zone and the eardrum reference point, and/or wherein the conditioning further comprises high pass filtering out low frequencies determined to be in a range that cannot be heard by a user.
  • the method of operating an extended bandwidth adaptive noise cancelling system further comprises tuning the noise cancellation path to cancel noise at the eardrum reference point, using the error signal sensed in the noise cancellation zone, and/or through a noise amplification control process, adaptively
  • the hiss region of the antinoise signal may include frequency bandwidths in which constructive interference between the external noise and the anti-noise signal is detected.
  • the method of operating an extended bandwidth adaptive noise cancelling system further comprises, through a transient activity detection process, receiving the reference signal, detecting a transient noise event and selectively disabling adaptively adjusting the noise cancellation filter during the detected transient noise event.
  • the method may further comprise generating the anti-noise signal in accordance with stored filter coefficients; and adaptively modifying the stored filter coefficients during operation, and/or outputting the anti-noise signal to a loudspeaker to generate anti-noise to cancel the noise in a cancellation zone.

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

Abstract

Cette invention concerne des systèmes et des procédés d'élimination adaptative du bruit, comprenant un capteur de référence conçu pour détecter un bruit environnemental et générer un signal de référence correspondant, un capteur d'erreur conçu pour détecter du bruit dans une zone d'élimination de bruit et générer un signal d'erreur correspondant, un filtre d'élimination du bruit conçu pour recevoir le signal de référence et générer un signal anti-bruit pour éliminer le bruit environnemental dans la zone d'élimination, un module d'adaptation conçu pour recevoir le signal de référence et le signal d'erreur et à ajuster de manière adaptative le signal anti-bruit, et un module de détection d'activité transitoire conçu pour recevoir le signal de référence, détecter un événement de bruit transitoire et désactiver sélectivement le module d'adaptation pendant l'événement de bruit transitoire détecté.
PCT/US2019/067644 2018-12-19 2019-12-19 Systèmes et procédés robustes d'élimination adaptative du bruit Ceased WO2020132347A1 (fr)

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CN201980083949.3A CN113196382B (zh) 2018-12-19 2019-12-19 稳健的自适应噪声消除系统和方法
JP2021535877A JP7254935B2 (ja) 2018-12-19 2019-12-19 ロバストな適応ノイズキャンセリングシステムおよび方法
EP19900182.7A EP3899926B1 (fr) 2018-12-19 2019-12-19 Systèmes et procédés robustes d'élimination adaptative du bruit
KR1020217022219A KR102697308B1 (ko) 2018-12-19 2019-12-19 견고한 적응형 잡음 소거 시스템 및 방법
JP2021141557A JP7282842B2 (ja) 2018-12-19 2021-08-31 ロバストな適応ノイズキャンセリングシステムおよび方法
JP2021141611A JP7167273B2 (ja) 2018-12-19 2021-08-31 ロバストな適応ノイズキャンセリングシステムおよび方法

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KR20210092845A (ko) 2021-07-26
JP7254935B2 (ja) 2023-04-10
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EP3899926A4 (fr) 2022-08-24
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JP2022048107A (ja) 2022-03-25
CN113196382A (zh) 2021-07-30
JP2022029451A (ja) 2022-02-17
CN113196382B (zh) 2025-04-22
KR102697308B1 (ko) 2024-08-23
JP7539524B2 (ja) 2024-08-23

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