Abstract: Methods and systems are provided for an automatic noise control system. Automatic noise control includes evaluating an amplitude of an acceleration acting on an acceleration sensor and generating a reference signal representative of the amplitude of the acceleration, the acceleration being representative of unwanted noise sound generated by a noise source, filtering the reference signal with a noise control transfer function to generate an anti-noise signal, and converting with a loudspeaker the anti-noise signal into anti-noise sound.

Abstract: An audio signal processing method and apparatus for adaptively adjusting a decorrelator. The method comprises obtaining a control parameter and calculating mean and variation of the control parameter. Ratio of the variation and mean of the control parameter is calculated, and a decorrelation parameter is calculated based on the said ratio. The decorrelation parameter is then provided to a decorrelator.

Abstract: An adaptive active noise control (ANC) system includes an ANC circuit and a control circuit. The ANC circuit generates an anti-noise signal for noise reduction, wherein the ANC circuit includes at least one adaptive filter. The control circuit receives a first input signal derived from a reference signal output by a reference microphone that picks up ambient noise, receives a second input signal derived from an error signal output by an error microphone that picks up remnant noise resulting from the noise reduction, and performs a transfer function variation detection based on the first input signal and the second input signal to control the at least one adaptive filter.

Abstract: A noise controlling method includes generating a reference signal representing a primary noise, generating a secondary noise in response to a control signal for cancelling the primary noise, generating an error signal representing a superposition of the primary and secondary noises at a position, generating an additional reference signal, secondary noise, or additional error signal, and generating the control signal for generating the secondary noise using adaptive subband filtering based on the reference and error signals, the generating the control signal including decomposing the reference signal and the error signal into a subband reference and error signal for each subband, updating subband adaptive filters for a subband based on the subband reference signal and the subband error signal, updating a fullband adaptive filter based on the updated subband adaptive filter, and generating the control signal by filtering the reference signal by the updated fullband adaptive filter.

Abstract: A public address system includes audio inputs from a moderator/presenter and from one or more participants. In an embodiment, the moderator speaks first and then selects participants to speak, utilizing audio captured by participant devices. A central signal processor is configured to receive the audio inputs and to utilize a configured acoustic model to provide for acoustic echo cancellation (AEC) and feedback control (FBC) during various phases of a presentation or conference. Audio signals from the presenter and/or participants, that have been processed to remove echo, are utilized as reference signals during various phases of the audio presentation that utilize the acoustic model for either AEC or FBC. The system utilizes the knowledge that the best learning occurs during the far talking state to learn the echo path in the canceler mode (AEC) vs. the feedback mode (FBC), which usually can only train in a double-talking mode.

Abstract: An adaptive active noise control (ANC) system includes an ANC circuit and a control circuit. The ANC circuit generates an anti-noise signal, and includes at least one adaptive filter. The control circuit receives a first input signal derived from a reference signal output by a reference microphone that picks up ambient noise, receives a second input signal derived from an error signal output by an error microphone that picks up remnant noise resulting from noise reduction, and performs a comparison operation based on a first characteristic value of the first input signal and a second characteristic value of the second input signal to control the at least one adaptive filter.

Abstract: A noise-cancellation system includes a noise-cancellation filter in communication with at least one speaker, the noise-cancellation filter generating a noise-cancellation signal that, when actuated by the at least one speaker, cancels noise within at least one cancellation zone; and an amplifier disposed between the noise-cancellation filter and the speaker, the amplifier applying a first scaling gain to the noise-cancellation signal and outputting an scaled noise-cancellation signal, the scaled noise-cancellation signal being a linear reduction of the noise-cancellation signal when the first scaling gain is less than unity, wherein the first scaling gain is set to less than unity in response to a signal representative of the noise-cancellation signal exceeding a threshold.

Abstract: A vehicle-implemented, adaptive noise-cancellation system responsive to entertainment audio is provided. The noise-cancellation system uses reference signal from a reference sensor, such as an accelerometer, to generate a noise-cancellation signal to destructively interfere with road noise in the vehicle cabin. A first set of entertainment audio thresholds triggers the system to enable or disable adaptation of an adaptive filter of the noise-cancellation system. A second set of entertainment audio thresholds triggers the system to enable, attenuate, or disable the noise-cancellation signal. As the entertainment audio increases, the system first disables the adaptation of the adaptive filter, then attenuates the noise-cancellation signal, then completely disables the noise-cancellation signal.

Abstract: Described herein are system and method embodiments for adaptive noise control for headphones, specifically for open-ear headphones. A leakage detection module in an ambient sound control (ASC) circuit implements leakage detection to determine a leakage mode. Based on the determined leakage mode, an ASC profile may create, select or modify an ASC profile for the ASC circuit to operate. Pilot tone, ambient noise, or audio playback may be used respectively or in combination for leakage detection. Experimental results show that embodiments of adaptive ASC approach may achieve improved performance compared to a default ASC, especially under loose fitting of an earphone.

Abstract: A monitoring system can include an earpiece, a database with stored earpiece characteristics data, and a microphone to receive a plurality of signals where each signal of the plurality of signals can represents a respective sound pressure level of sound pressure values over a time duration. The system can also include a processor and a memory coupled processor, the memory having computer instructions which when executed by the processor causes the processor to perform the operations. The operations can include determining exposure time duration when a signal of the plurality of signals exceeds a sound pressure level threshold value, retrieving a subset of data of the stored earpiece characteristics data, and modifying an acoustic output of the earpiece in accordance with the subset of data of the stored earpiece characteristics data.

Abstract: Methods and systems are provided for automatic noise control. Automatic noise control includes controlling a shadow noise control transfer function based on a shadow error signal and a filtered or unfiltered reference signal, generating the shadow error signal based on a filtered or unfiltered shadow anti-noise signal and an error signal, and substituting the noise control transfer function by the shadow noise control transfer function if the shadow error signal is smaller than the error signal.

Abstract: The present invention provides an improved noise separation hybrid type ANC system, which includes a reference audio receiving device, an error audio receiving device, an audio output device, and an audio processing device. The audio processing device includes a feed-forward noise cancellation filter module, a feedback noise cancellation filter module, a mixer, a noise shaper, a first infinite impulse response filter, and a second infinite impulse response filter. When the noise bandwidth detector detects irregular noise, it adjusts the coefficient of the first infinite impulse response filter to set it as a low-pass filter; when regular noise is detected, the coefficient of the second infinite impulse response filter is adjusted to set it as a band-pass filter.

Abstract: An urban air mobility (UAM) noise reduction system and method are provided, where the UAM noise reduction system includes a UAM configured to detect and to provide rotation per minute (RPM) information of a propeller and location coordinate information, and a noise canceling device configured to predict a noise canceling sound wave amplitude on the basis of the RPM information of the propeller and the location coordinate information received through the UAM and to output a noise canceling sound wave corresponding to the predicted noise canceling sound wave amplitude to the UAM.

Abstract: An apparatus for generating at least one distance estimate to at least one sound source within a sound scene comprising the least one sound source, the apparatus configured to: receive at least two audio signals from a microphone array located within the sound scene; receive at least one further audio signal associated with the at least one sound source; determine at least one portion of the at least two audio signals from a microphone array corresponding to the at least one further audio signal associated with the at least one sound source; determine a distance estimate to the at least one sound source based on the at least one portion of the at least two audio signals from a microphone array corresponding to the at least one further audio signal associated with the at least one sound source.

Abstract: The overall performance of an ANC system may be improved by configuring the ANC system to perform adaption in the frequency domain. The ANC systems may be configured to update an algorithm of an adaptive filter based, at least in part, on the first input signal, the second input signal, and a feedback signal that is based on an output of the adaptive filter. Updating may include changing parameters of the algorithm based on a SDR based, at least in part, on the first input signal. Updating may also include normalizing a step size and processing at least full band information for the input signal in a frequency domain to generate coefficient values for the algorithm. Updating may also include applying a frequency domain magnitude constraint on adaptive filter coefficients.

Abstract: A sound processing apparatus includes a receiving module configured to receive audio signals of one or more sounds acquired by a personal sound device, a processing module configured to use a sound processing model to perform: classification processing in which a type of a scenario where a user of the personal sound device is located is determined based on the audio signals; identification processing in which each of the one or more sounds is determined as a desired sound or an undesired sound based on the determined type of the scenario, and filtering processing in which filtering configuration is performed based on a result of the identification processing. The audio signals are filtered based on the filtering configuration, and an output module is configured to output the filtered audio signals, so as to provide same to the user.

Abstract: A noise cancellation circuit includes: a first filter circuit for filtering a first input signal according to a first filter coefficient to generate a first filtered signal; a signal processing circuit for generating a feedback signal according to a second input signal and an audio signal; a second filter circuit for filtering the feedback signal according to a second filter coefficient to generate a second filtered signal; a first multiplication circuit for multiplying the first filtered signal by a first scale to generate a first intermediate signal; a second multiplication circuit for multiplying the second filtered signal by a second scale to generate a second intermediate signal; a first adder circuit for adding the first intermediate signal to the second intermediate signal to generate a noise cancellation signal; and a second adder circuit for adding the noise cancellation signal to the audio signal to generate an output signal.

Abstract: An integrated circuit for implementing at least a portion of a personal audio device may include an output for providing a signal to a transducer including both a source audio signal for playback to a listener and an anti-noise signal for countering the effects of ambient audio sounds in an acoustic output of the transducer, a reference microphone input for receiving a reference microphone signal indicative of the ambient audio sounds, an error microphone input for receiving an error microphone signal indicative of the output of the transducer and the ambient audio sounds at the transducer, and a processing circuit configured to implement an adaptive infinite impulse response filter having a response that generates the anti-noise signal to reduce the presence of the ambient audio sounds at the error microphone and implement a coefficient control block that shapes the response of the adaptive infinite impulse response filter in conformity with the error microphone signal by generating coefficients that determi

Abstract: Systems and methods of providing improved directional noise suppression in an electronic device implement a technique that specifies a direction or speaker of interest, determines the directions corresponding to speakers not lying in the direction of interest, beam forms the reception pattern of the device microphone array to focus in the direction of interest and suppresses signals from the other directions, creating beam formed reception data. A spatial mask is generated as a function of direction relative to the direction of interest. The spatial mask emphasizes audio reception in the direction of interest and attenuates audio reception in the other directions. The beam formed reception data is then multiplied by the spatial mask to generate an audio signal with directional noise suppression.

Abstract: A system configured to perform distributed echo cancellation processing to attenuate feedback echo from occurring when two devices are acoustically coupled during a communication session. To reduce the feedback echo, one of the devices is configured as a hub device and receives microphone signals, synchronizes the microphone signals, and generates a mixed microphone signal. To enable distributed echo cancellation, the system includes bidirectional feedback link(s) between the hub device and each device synchronized with the hub device. For example, a first bidirectional feedback link sends a microphone signal from a second device to the hub device and sends the mixed microphone signal from the hub device to the second device, which the second device uses to perform echo cancellation. In addition, a second bidirectional feedback link sends a playback signal from the hub device to the second device and sends the output of echo cancellation back to the hub device.

Abstract: A first cancellation signal output from a first speaker cancels noise at a first cancellation point, which is a typical position of the right ear of a user, together with a second cancellation signal output from a second speaker. In addition, the second cancellation signal output from the second speaker cancels noise at a second cancellation point, which is a typical position of the left ear of the user, together with the first cancellation signal output from the first speaker. The first speaker and the second speaker are arranged side by side on a second line segment, which passes through the midpoint of a first line segment connecting the first cancellation point and the second cancellation point to each other and is perpendicular to the first line segment, and a range where the relationship between noise and the first cancellation signal and the second cancellation signal is the same as that at the cancellation point is extended.

Abstract: An audio signal processing method and apparatus for adaptively adjusting a decorrelator. The method comprises obtaining a control parameter and calculating mean and variation of the control parameter. Ratio of the variation and mean of the control parameter is calculated, and a decorrelation parameter is calculated based on the said ratio. The decorrelation parameter is then provided to a decorrelator.

Abstract: A conversation support device includes: a speaker; a microphone; a noise source acquisition unit that acquires a noise signal indicating noise; a first calculator that calculates a transfer characteristic of a secondary path between the speaker and the microphone; an echo cancellation unit that cancels an echo by using the transfer characteristic of the secondary path; a second calculator that calculates a coefficient of an adaptive filter, based on the transfer characteristic of the secondary path and the noise signal; and an active noise cancellation controller that generates a noise cancelling signal by using the coefficient of the adaptive filter and the noise signal. The noise cancelling signal is for controlling cancellation of the noise.

Abstract: In a first system signal processing unit, an adaptive filter generates a noise cancel sound, a first system selector selects an output of a first system auxiliary filter corresponding to a noise cancel position matching a detected position of a right ear of a user from a plurality of first system auxiliary filters corresponding to different noise cancel positions, and a first system subtractor subtracts the selected output from an output of a first microphone and outputs the subtracted result as an error signal to a first system adaptive filter and a second system adaptive filter of a second system signal processing unit. The noise cancel positions are arranged at predetermined intervals in a space where the user can move the right ear due to turning and side bending of the head within a predetermined range in the up-down and front-back directions.

Abstract: An audio system that includes an IMU or accelerometer in physical proximity to a microphone and a driver. The signal generated by the IMU or accelerometer may be used to filter the audio signal generated by the microphone with respect to mechanically coupling between the driver outputting sound and the microphone via a shared structure. In some cases, an accelerometer may be incorporated into a package of the microphone to provide analog-based filtering prior to converting the audio signal of the microphone to a digital format.

Abstract: The present subject matter can improve robustness of performance of acoustic feedback cancellation in the presence of strong acoustic disturbances. In various embodiments, an optimization criterion determined to enhance robustness of an adaptive feedback canceller in an audio device against disturbances in an incoming audio signal can be applied such that the adaptive feedback canceller remains in a converged state in response to presence of the disturbances.

Abstract: A method of automated feedforward filter design comprising designing a feedforward filter for a system implementing active noise cancelling is described. The method includes designing the feedforward filter by determining a filter transfer function of the feedforward filter. Optionally, the filter transfer function is determined using a least square method. The method also includes determining the filter transfer function by defining a target transfer function of the feedforward filter and applying the least square method using the target transfer function to determine a filter expression for the filter transfer function. Optionally, the least square method is a weighted least square method.

Abstract: An image capture device with beamforming for wind noise optimized microphone placements is described. The image capture device includes a front facing microphone configured to capture an audio signal. The front facing microphone co-located with at least one optical component. The image capture device further includes at least one non-front facing microphone configured to capture an audio signal. The image capture device further includes a processor configured to generate a forward facing beam using the audio signal captured by the front facing microphone and the audio signal captured by the at least one non-front facing microphone, generate an omni beam using the audio signal captured by the at least one non-front facing microphone, and output an audio signal based on the forward facing beam and the omni beam.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.

Abstract: A data processing device includes an internal volume for housing devices and an isolation test system. The isolation test system makes a determination that an electromagnetic interference suppression state of the data processing device is to be determined; in response to the determination: suppresses generation of electromagnetic radiation by the devices; while the generation of the electromagnetic radiation by the devices is suppressed: identifies a quantity of second electromagnetic radiation that propagated through a boundary of the internal volume; makes a second determination, based at least in part on the quantity, that the electromagnetic interference suppression state of the data processing device is an electromagnetic interference suppression compromised state; and initiates performance of an action set to remediate the electromagnetic interference suppression compromised state of the data processing device based on the second determination.

Abstract: Some demonstrative embodiments include apparatuses, systems and methods of sound control. For example, an apparatus may be configured to process one or more audio inputs to be heard in one or more personal sound zones, and a plurality of monitoring inputs, wherein the plurality of monitoring inputs represent acoustic sound at a plurality of predefined monitoring sensing locations, which are defined within the one or more personal sound zones; determine a sound control pattern based on the one or more audio inputs, and the plurality of monitoring inputs, the sound control pattern comprising a plurality of sound control signals configured to drive a respective plurality of acoustic transducers such that the one or more audio inputs are to be heard in the one or more personal sound zones; and output the plurality of sound control signals to the plurality of acoustic transducers.

Abstract: Disclosed herein are methods for operating an apparatus for generating acoustic compensation signals used to compensate acoustic signals from operation of a motor-vehicle engine, comprising the steps: providing an EOC device, which is designed to generate acoustic compensation signals used to compensate acoustic signals that result from the operation of the engine; providing a device configured using the EOC device as a model; determining at least one audio signal to be output into a passenger compartment of a motor vehicle by means of an audio output device, before said audio signal is captured by an audio capturing element associated with the EOC device; applying an evaluation specification to evaluate the at least one audio signal with respect to at least one evaluation criterion; generating evaluation information with respect to the at least one evaluation criterion; controlling the operation of the EOC device on the basis of the evaluation Information.

Abstract: Exemplary road and engine noise control systems and methods include directly picking up road noise from a structural element of a vehicle to generate a first sense signal representative of the road noise, directly picking up engine noise from an engine of the vehicle to generate a second sense signal representative of the engine noise, and combining the first sense signal and the second sense signal to provide a combination signal representing the combination of the first sense signal and the second sense signal. The systems and methods further include broadband active noise control filtering to generate a filtered combination signal from the combination signal, converting the filtered combination signal provided by the active noise control filtering into anti-noise and radiating the anti-noise to a listening position in an interior of the vehicle. The filtered combination signal is configured so that the anti-noise reduces the noise at the listening position.

Abstract: An ear cup housing has several reference microphones, an error microphone and a speaker. A processor drives the speaker for acoustic noise cancellation and transparency, by processing the microphone signals, and performs an oversight process by adjusting the reference microphone signals in response to detecting wind noise events and scratch events. In another aspect, the ear cup housing has an outside face that is joined to an inside face by a perimeter and the reference microphones are on the perimeter. Other aspects are also described and claimed.

Abstract: A monitoring system can include an earpiece, a database with stored earpiece characteristics data, and a microphone to receive a plurality of signals where each signal of the plurality of signals can represents a respective sound pressure level of sound pressure values over a time duration. The system can also include a processor and a memory coupled processor, the memory having computer instructions which when executed by the processor causes the processor to perform the operations. The operations can include determining exposure time duration when a signal of the plurality of signals exceeds a sound pressure level threshold value, retrieving a subset of data of the stored earpiece characteristics data, and modifying an acoustic output of the earpiece in accordance with the subset of data of the stored earpiece characteristics data.

Abstract: Provided is a signal processing apparatus of a plurality of signal processing apparatuses that includes a noise canceling processing unit capable of connecting one or more input portions and one or more output portions, and performs a noise canceling processing. Signal processing apparatuses of the plurality of signal processing apparatuses are connected to one another.

Abstract: An earphone signal processing method includes: a signal picked up by a first microphone of an earphone at a position close to a mouth outside an ear canal, a signal picked up by a second microphone of the earphone at a position away from the mouth outside the ear canal and a signal picked up by a third microphone are acquired, the third microphone being in a cavity formed by the earphone and the ear canal; dual-microphone noise reduction is performed on the signals picked up by the first and second microphones to obtain a first intermediate signal; dual-microphone noise reduction is performed on the signals picked up by the second and third microphones to obtain a second intermediate signal; the first and second intermediate signals are fused to obtain a fused voice signal; and the fused voice signal is output.

Abstract: An active noise control device includes an updated value table operating unit that writes initial values of an initial value table into an updated value table as updated values and writes updated coefficients of a secondary path filter C{circumflex over (?)} updated in a secondary path filter coefficient updating unit during active noise control, into the updated value table as updated values. The secondary path filter coefficient updating unit reads the updated value corresponding to a frequency from the updated value table before updating the coefficients of the secondary path filter C{circumflex over (?)}, and updates the coefficients of the secondary path filter C{circumflex over (?)}, using the read updated values as the pervious values.

Abstract: According to various embodiments, an electronic device includes a plurality of microphones, and a processor electrically connected to the plurality of microphones, wherein the processor may obtain audio signals through the plurality of microphones, estimate a probability of existence of a voice signal included in the obtained audio signals, obtain correlation information between the audio signals based on the probability of existence of the voice signal and/or the obtained audio signals, obtain voice blocking information based on the correlation information or a direction of arrival (DOA) estimation, obtain a first signal among the audio signals based on the audio signals, the correlation information, and the voice blocking information, obtain a second signal including the voice signal among the audio signals, and obtain a noise-removed voice signal by removing the first signal from the second signal. In addition, it is possible to implement various embodiments understood through the disclosure.

Abstract: One embodiment provides a method, including: detecting audio being supplied across an electronic communication medium, wherein the audio comprises at least one noise other than a speaker; minimizing the at least one noise by dynamically adjusting a latency of the audio being supplied to a recipient, wherein the minimizing comprises adjusting the latency to a value allowing for a noise cancelling algorithm to minimize the at least one noise; and providing the audio having the minimized at least one noise to the recipient. Other aspects are described and claimed.

Abstract: An adaptive filter converts time domain samples of an input signal into frequency domain signals, dynamically adjusts a stability conditional number based on the frequency domain signals, and uses the dynamically adjusted stability conditional number to control step size normalization during adaptation of frequency domain coefficients of the adaptive filter. The stability control number may be global to a range of frequency bins based on a peak magnitude of the input signal and/or may be frequency bin-specific stability control numbers based on corresponding frequency bin-specific error signal magnitudes. The adaptive filter also dynamically adjusts a noise floor based on the frequency domain input signals and refrains from updating frequency domain coefficients when a magnitude of the frequency domain input signal associated with a frequency bin is greater than the dynamically adjusted noise floor.

Abstract: An in-ear device comprises a transducer section, a front volume section, and a rear volume section. The transducer section includes a frame and piezoelectric actuators coupled to the frame. The piezoelectric actuators are configured to generate an acoustic pressure wave. The transducer section includes a first side and a second side, the second side being opposite the first side. The front volume section is coupled to the first side to form a front cavity, the front volume section including an aperture from which the generated acoustic pressure wave exits the front volume section towards an ear drum of a user. The rear volume section is coupled to the second side to form a rear cavity. The transducer section, the front volume section, and the rear volume section are configured to fit entirely within the ear canal.

Abstract: An active noise reduction system includes a substrate, a number of capacitors mounted on the substrate, a noise sensor mounted on the substrate and used to collect a noise signal around the noise sensor, an actuator mounted on the substrate and used to generate vibrations, and a controller mounted on the substrate and electrically coupled to the noise sensor and the actuator. The controller is used to obtain the noise signal collected by the noise sensor and generate a control signal according to the noise signal to the actuator to control the actuator to generate vibrations having a same frequency and opposite phase as the noise signal to cancel out the vibrations generated by the plurality of capacitors and the vibrations of the substrate caused by the vibrations generated by the plurality of capacitors. An electronic device and an active noise reduction method are also provided.

Abstract: The present disclosure discloses an audio playback apparatus having a noise-canceling mechanism that includes an audio-receiving circuit, an adjusting parameter generation circuit, a frequency-warping filter circuit and an audio playback circuit. The audio-receiving circuit receives an audio signal. The adjusting parameter generation circuit generates adjusting parameters according to at least the audio signal. The frequency-warping filter circuit includes first order all pass filter units to filter the audio signal in series to generate a plurality of filtered results, multiplication units to respectively multiply each of the filtered results by one of adjusting parameters to generated adjusted filtered results and an adder circuit to add the filtered results to generate a noise-canceling signal. The audio playback circuit playbacks the audio signal and the noise-canceling signal at the same time.

Abstract: An anti-snoring apparatus including a low frequency sound generating device that applies a low frequency sound to a subject producing a snoring sound, and a controller including circuitry that converts the snoring sound to a received signal, obtain snoring sound information from the received signal, process the snoring sound information such that an impact of the snoring sound is determined based on the snoring sound information, and cause the low frequency sound generating device to apply the low frequency sound to the subject when the impact is higher than a threshold.

Abstract: A noise-cancellation system with secondary path adaptation, includes: a noise-cancellation filter configured to receive a reference signal representative of a source of noise within a predefined volume and generating, based at least in part on the reference signal, a noise-cancellation signal that, when transduced by a speaker, produces a noise-cancellation acoustic signal that reduces noise in a cancellation zone within the predefined volume; a secondary path estimation filter configured to receive an input signal and to implement an estimate of secondary path transfer function, the secondary path transfer function being a transfer function between the speaker and a cancellation zone, the secondary path estimation filter outputting an output signal based, at least in part, on the estimate of the secondary path transfer function and the input signal; an adaptive module configured to adjust coefficients of the noise-cancellation filter according to a first adaptive algorithm, based, at least in part, on the es

Abstract: The present invention relates to a sound pick-up apparatus.

Abstract: The technology described in this document can be embodied in a method that includes receiving an input signal representing audio captured by a microphone of an active noise reduction (ANR) headphone, processing, by one or more processing devices, a portion of the input signal to determine a noise level in the input signal, and determining that the noise level satisfies a threshold condition. The method also includes, in response to determining that the noise level satisfies the threshold condition, generating an output signal in which ANR processing on the input signal is controlled in accordance with a target loudness level of the output signal, and driving an acoustic transducer of the ANR headphone using the output signal.

Abstract: Aspects of the present disclosure provide methods, apparatuses, and systems for dynamically masking audible breathing noises determined to be generated by one or more sleeping partners. According to aspects, a subject's sleep is protected by detecting audible breathing noises in a sleeping environment, determining the audible breathing noises are not generated by the subject, and mitigating the perception of the audible breathing noises that are determined to originate from another subject, such as a bed partner, pet, etc. The dynamic masking reduces the subject's exposure to unnecessary sounds and reduces the chances of masking sounds disturbing the subject's sleep.

Abstract: Adaptive noise cancellation systems and methods comprise 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.