Abstract: Active noise control systems and methods are disclosed that include generating with a first sub-system, anti-noise that is configured to reduce or cancel noise occurring at a listening position. Generating with a second sub-system, anti-noise that is configured to reduce or cancel noise occurring at the listening position. The first active noise control sub-system has a higher robustness than the second active noise control sub-system.

Abstract: Audio systems and methods are provided to increase relevant content of an audio signal relative to a noise level, and include filtering the audio signal to remove spectral content below a cutoff frequency, where the cutoff frequency is based upon a noise value.

Abstract: Provided is a signal processing device including a signal analyzing unit configured to analyze a second audio signal based on a first audio signal which is input and a sound collected through a microphone, a cancellation processing unit configured to generate a cancellation signal for canceling the second audio signal, and a parameter generating unit configured to generate a control parameter used in the cancellation processing unit based on a result of analysis performed by the signal analyzing unit.

Abstract: An active noise cancellation device for cancelling a primary acoustic path between a noise source and a microphone by an overlying secondary acoustic path between a canceling loudspeaker and the microphone, the device comprising: a first input for receiving a microphone signal from the microphone; wherein the first electrical compensation path and the second electrical compensation path are coupled in parallel between a first node and the first input to provide the first noise canceling signal for a feed-backward prediction of the noise source; wherein the third electrical compensation path and the fourth electrical compensation path are coupled in parallel between a second node and the first input to provide the second noise canceling signal for a feed-forward prediction of noise source.

Abstract: Techniques for processing audio signals include removing noise from the audio signals or otherwise clarifying the audio signals prior to outputting the audio signals. The disclosed techniques may employ minimum mean squared error (MMSE) analyses on audio signals received from a primary microphone and at least one reference microphone, and to techniques in which the MMSE analyses are used to reduce or eliminate noise from audio signals received by the primary microphone. Optionally, confidence intervals may be assigned to different frequency bands of an audio signal, with each confidence interval corresponding to a likelihood that its respective frequency band includes targeted audio, and each confidence interval representing a contribution of its respective frequency band in a reconstructed audio signal from which noise has been removed.

Abstract: An example active road noise control includes generating with a sensor arrangement a primary sense signal representative of at least one of accelerations, motions and vibrations that occur at a first position, and providing a noise reducing signal by processing the primary sense signal according to an adaptive mode of operation or a non-adaptive mode of operation. It further includes generating within the vehicle body noise reducing sound at the second position from the noise reducing signal, evaluating the primary sense signal and controlling the processing of the primary sense signal so that the primary sense signal is processed in the adaptive mode of operation when the magnitude of the primary sense signal undercuts a first threshold and in the non-adaptive mode of operation when the magnitude of the primary sense signal exceeds a second threshold, the first threshold being equal to or smaller than the second threshold.

Abstract: An apparatus includes a sensor module configured for receiving sensed information indicative of a sensed signal. The sensed signal includes a source signal component and a source noise component. The apparatus also includes a reference module configured for reference information indicative of a reference signal. The reference signal also includes a reference noise component. The apparatus also includes a filter module configured as a fixed lag Kalman smoother. The filter module is configured for adaptively filtering the reference signal to generate an estimate of the source noise component. The apparatus also includes a processing module configured for calculating an output signal based on the sensed signal and the estimate of the source noise component. The apparatus also includes an interface module configured for transmitting an indication of the output signal. The filter module is further configured for, based on the output signal, tuning the Kalman smoother.

Abstract: An active noise control (ANC) system includes a speaker and one or more processors. The one or more processors implement an adaptive subband filtered reference control algorithm that applies thresholds to reference and error feedback signal paths such that, in response to a series of broadband non-Gaussian impulsive reference signals indicative of road noise in the vehicle having an audible frequency range of 20 Hz to 20 kHz, weight coefficients defining an adaptive filter of the control algorithm converge and permit the ANC system to partially cancel the road noise via output of the speaker.

Abstract: A vehicle includes at least one sensor and a body having an exterior portion and an interior portion. The sensor is configured to detect noise existing in the exterior portion and the interior portion, and to output at least one noise signal indicative of the detected noise. The vehicle further includes at least one noise cancellation and enhancement (NCE) controller and an automotive audio bus (A2B) interface. One or more of the NCE controllers are configured to perform at least one noise management signal processing operation based on the at least one noise signal. The automotive audio bus (A2B) interface receives the at least one noise signal and delivers the at least one noise signal to the at least one NCE controller.

Abstract: An audio device may be configured to produce output audio and to capture input audio for speech recognition. In some cases, a second device may also be used to capture input audio to improve isolation of input audio with respect to the output audio. In addition, acoustic echo cancellation (AEC) may be used to remove components of output audio from input signals of the first and second devices. AEC may be implemented by an adaptive filter based on dynamically optimized filter coefficients. The filter coefficients may be analyzed to detect situations in which the first and second devices are too close to each other, and the user may then be prompted to increase the distance between the two devices.

Abstract: A noise cancelation device, and a method, for suppressing noise patterns emitted from a body of a user are disclosed. The noise cancelation device comprises in some embodiments at least one sensor for sensing noise patterns produced by the body of the user and generating noise data indicative thereof, noise cancelling circuitry configured and operable to process the noise data generated by the at least one sensor and generate anti-noise signals therefrom, and at least one acoustic transducer for producing audio outputs from the generated anti-noise signals. The noise cancelation device is configured to be attached to the body of the user, either on or adjacent a body part from which the noise patterns are being emitted.

Abstract: A hearing device, e.g. a hearing aid, comprises a forward path comprising an input transducer providing an electric input signal, a combination unit, a signal processing unit configured to apply a forward gain to signal of the forward path and to provide a processed electric output signal, a frequency shifting unit for de-correlating the processed electric output signal and the electric input signal, and an output transducer. The hearing device further comprises an adaptive filter for providing an estimate of an external feedback path, and located in the forward path. The feedback estimation unit provides a resulting feedback estimate signal, which is combined with the electric input signal in the combination unit to provide a resulting feedback corrected signal, and a correction unit for influencing said estimate of the feedback path by diminishing a residual bias, being a result of the frequency shift, in said resulting feedback estimate signal.

Abstract: Multi-function apparatuses and methods associated with augmenting an analog audio signal are disclosed herein. In embodiments, a multi-function apparatus for performing a plurality of functions may include a microphone to receive a propagated analog audio signal and ambient noise; a receiver to receive a digitally streamed version of the analog audio signal; a harmonizer, that includes a plurality of processors, to generate a digital adjusted version of the analog signal including noise canceling signal to cancel some or all of the ambient noise, based on the propagated analog audio signal, the ambient noise, and the digitally streamed version of the analog audio signal; and a digital-to-analog converter to convert the digital adjusted version of the analog signal to an analog adjusted version of the analog signal. The analog adjusted version of the analog signal may then be outputted to augment the propagated analog audio signal. Other embodiments may be disclosed or claimed.

Abstract: An audio processing apparatus includes a noise component extraction unit, a removal unit, and a detection unit. The noise component extraction unit performs noise component extraction processing for extracting a noise component from sound data picked up by a sound pickup apparatus corresponding to an imaging apparatus. The removal unit removes the noise component from the sound data. The detection unit detects a condition of an imaging target from an image captured by the imaging apparatus. The noise component extraction unit performs learning processing for adapting the noise component extraction processing to the sound data picked up by the sound pickup apparatus. The noise component extraction unit changes a speed at which the noise component extraction processing is adapted to the sound data in the learning processing according to the condition of the imaging target that is detected by the detection unit.

Abstract: An active noise reduction system and method to cancel fan or blower noise. The system utilizes 2 microphones: one to pick up the subject noise and the noisy signal at far field. The proposed system utilizes a portable loudspeaker that is placed near the subject. The loudspeaker broadcasts omni-directional or directional anti-phase signals to reduce the noise at far field. The system includes a real-time processor (DSP or FPGA) with fast adaptive filter to process the 2 microphone signals and generate the anti-phase signal. The adaptive filter uses the second microphone as a reference to generate an out-of-phase signal, which can then suppress the far field noise. The system is simple to set up and portable. The system utilizes frequency-domain adaptive filter and proven algorithms to quickly compute the anti-phase signals for cancelling detected noise.

Abstract: The disclosure is related to a calibration system for active noise cancellation and a speaker apparatus. The calibration system receives the signals with feedforward control or feedback control active noise cancellation. A gain adjustment element is used to adjust a gain of the signals, and a path selection switch is used to switch connection to a first operational amplifier or to a second operational amplifier. In addition to driving signals, the operational amplifier is also used to adjust a phase of the output signals. The calibration system is able to balance the gain of the signals with active noise cancellation and adjust the phase of signals of a left-channel circuit and a right-channel circuit through gain-phase adjustment. The related speaker apparatus is such as an earphone with the feedforward ANC control circuit, the feedback ANC control circuit, or a hybrid ANC circuit.

Abstract: An electronic component with a self-damping MLCC is provided. The electronic component comprising a pulse signal generator and a substrate comprising first traces and second traces. An MLCC is provided comprising a first capacitive couple between two first external terminations and a second capacitive couple between two second external terminations wherein each first external termination is in electrical contact with a different first trace and each second external termination is in electrical contact with a different second trace. The pulse signal generator provides a first pulse to the first traces and a second pulse to the second traces wherein the first pulse and second pulse are not in phase.

Abstract: In a method for operating a binaural hearing system having a first hearing aid and a second hearing, the first hearing aid generates a first reference signal from a sound signal by a first reference microphone and the second hearing aid generates a second reference signal from the sound signal by a second reference microphone. The first reference signal and the second reference signal are both used to derive a first binaural beamformer signal. For at least a number of frequency bands, the first reference signal is used to derive a first phase. For the number of frequency bands, a first output signal is derived from the first binaural beamformer signal and the first phase.

Abstract: In a method of influencing the exhaust noise of a motor vehicle, a control unit generates noise package signals, the control unit transmits the noise package signals individually or so as to superimpose a basic signal to a loudspeaker associated with an exhaust branch of the motor vehicle, and the loudspeaker converts the individual noise package signals or the basic signal superimposed with the noise package signals into sound waves, with individual noise package signals being emitted by the loudspeaker as time-limited sound wave packages, so-called noise packages. Furthermore, an exhaust system is shown.

Abstract: A headphone detector including a headphone and a processor. The headphone has a microphone and a speaker, and the microphone is configured to generate an audio signal based on an output of the speaker. The processor is configured to receive the audio signal, determine a characteristic of the audio signal, and assess whether the headphone is on ear or off ear based on a comparison of the characteristic to a threshold. In another aspect, an off-ear detection (OED) system includes a headphone and an OED processor. The headphone has a speaker, a feedforward microphone, and a feedback microphone. The OED processor is configured to determine whether the headphone is off ear or on ear, based at least in part on a headphone audio signal, a feedforward microphone signal, and a feedback microphone signal.

Abstract: A vehicle includes a music signal processing system having a loudspeaker disposed within a passenger compartment of the vehicle and emitting audible music into the passenger compartment. A microphone is disposed within the passenger compartment and converts the audible music and noise within the passenger compartment into an analog electrical microphone signal. An analog-to-digital converter is connected to an output of the microphone and receives the analog electrical microphone signal and converts the analog electrical microphone signal into a digital electrical microphone signal. A sample rate down converter is connected to an output of the analog-to-digital converter. A narrow band adaptive noise control is connected to an output of the sample rate down converter and receives an engine speed signal. A sample rate up converter is connected to an output of the narrow band adaptive noise control. An adder device adds an output of the sample rate up converter to a music signal.

Abstract: A method is provided for attenuating road noise in a vehicle cabin. The method includes filtering a noise signal representative of road noise with a first fixed filter to provide an attenuation signal, and filtering the attenuation signal with an adaptive filter to provide a first filtered attenuation signal. The first filtered attenuation signal is provided to an electro-acoustic transducer for transduction to acoustic energy, thereby to attenuate the road noise in a vehicle cabin at an expected position of an occupant's ears. The method also includes receiving a microphone signal representative of the acoustic energy, filtering the attenuation signal with a second fixed filter to provide a second filtered attenuation signal, and updating a set of variable filter coefficients of the adaptive filter based on the microphone signal and the second filtered attenuation signal to accommodate for variations in a transfer function of the speaker.

Abstract: A computing device with a microphone system is disclosed. The computing device includes a microphone system with an environment microphone and a noise microphone. The environment microphone picks up an environment microphone signal which includes (1) a desired signal component based on desired sound and (2) a noise component based on noise from a noise source. The noise microphone picks up a noise microphone signal based on the noise, and is configured such that contributions to the noise microphone signal from the desired sound, if present, are attenuated relative to the environment microphone. A controller receives and processes time samples from the noise microphone signal to yield a noise estimation of the noise component. The estimation is subtracted from the environment microphone signal to yield and end-user output.

Abstract: A method for frequency-dependent noise suppression in an input signal is particularly suited for a hearing device. The input signal is distributed to a main signal path and an ancillary signal path. The presence of a useful signal component and, if a useful signal component is present, a parameter for a frequency of the useful signal component are assessed in the ancillary signal path. Noise in the input signal is suppressed in the main signal path by at least one infinite impulse response filter whose frequency response is implemented with a maximum absolute value in the range of that frequency of the useful signal component that is assessed using the parameter by determining a complex pole of the transfer function. The complex pole of the transfer function is determined by using the assessed parameter for the frequency of the useful signal component.

Abstract: A howling removing apparatus according to the present disclosure is a howling removing apparatus to be connected to a microphone and a speaker. The howling removing apparatus includes: a nonlinear converter that nonlinearly converts a sound signal input to the speaker and outputs a nonlinear signal; a delay unit that delays the sound signal by a fixed time and outputs a delay signal; a norm calculator that calculates a norm from the delay signal; a filter coefficient generator that, based on the nonlinear signal, the delay signal and the norm, generates an adaptive filter that simulates a transfer characteristic of a space where the sound signal is reproduced from the speaker and is returned to the microphone; a cancel signal generator that convolves the delay signal and the adaptive filter with each other and generates a cancel signal; and a subtracter that subtracts the cancel signal from the sound signal.

Abstract: A signal processing method includes: analyzing a noisy signal that is supplied as an input signal; generating mixed noise information by mixing a plurality of noise information about a noise to be suppressed based on the result of said analysis of the noisy signal; and suppressing the noise using the mixed noise information.

Abstract: An active noise control (ANC) system includes a speaker and one or more processors programmed to implement a delayless subband filtered-x least mean square control algorithm. The algorithm includes a variable bandwidth discrete Fourier transform filter bank having a number of subbands such that the system, in response to a broadband white noise reference signal indicative of road noise in the vehicle, exhibits a uniform gain spectrum across a frequency range defined by the subbands and partially cancels the road noise via output of the speaker.

Abstract: An engine sound enhancement system includes a conduit in communication with at least one of an intake manifold and an exhaust manifold of an engine. An interface is arranged at least one of within the conduit and between an inlet of the conduit and the at least one of the intake manifold and the exhaust manifold. The interface is responsive to pulses within the at least one of the intake manifold and the exhaust manifold, wherein the interface is configured to transfer the pulses into the conduit.

Abstract: A noise elimination circuit of particular application in enhancing vocal clarity in a teleconference includes a first voice processing circuit, a second voice processing circuit, and a subtracter. The first voice processing circuit receives and processes a first voice from a first microphone and the second voice processing circuit receives and processes the same voice from a second microphone (second voice). The first voice and the second voice include voice signals and noises. The subtracter is electrically connected to the two voice processing circuits to receive the first voice and the second voice respectively processed by the first voice processing circuit and the second voice processing circuit. The subtracter substracts the second voice from the first voice, and outputs a clear voice from which noise has been eliminated.

Abstract: A personal audio device, such as a wireless telephone, includes noise canceling that adaptively generates an anti-noise signal from a reference microphone signal and injects the anti-noise signal into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone is provided proximate the speaker to measure the output of the transducer in order to control the adaptation of the anti-noise signal and to estimate an electro-acoustical path from the noise canceling circuit through the transducer. The anti-noise signal is adaptively generated to minimize the ambient audio sounds at the error microphone. A processing circuit that performs the adaptive noise canceling (ANC) function also filters one or both of the reference and/or error microphone signals, to bias the adaptation of the adaptive filter in one or more frequency regions to alter a degree of the minimization of the ambient audio sounds at the error microphone.

Abstract: A method may include adaptively generating an anti-noise signal for countering the effects of ambient audio sounds at an acoustic output of the transducer by adapting a response of an adaptive filter that filters a reference microphone signal in conformity with an error microphone signal and the reference microphone signal to minimize the ambient audio sounds in the error microphone, generating a scaled anti-noise signal by applying a scaling factor to the anti-noise signal, further adjusting the response of the adaptive filter independent of a source audio signal by altering an input to the coefficient control block of the adaptive filter to compensate for the scaling factor, and combining the scaled anti-noise signal with the source audio signal to generate an audio signal provided to the transducer.

Abstract: In accordance with embodiments of the present disclosure, an adjustable equalization filter may have a response that generates an equalized source audio signal from a source audio signal to account for effects of changes in an electro-acoustical path of the source audio signal to a transducer. An equalizer coefficient control block may adapt the response of the adjustable equalization filter in response to changes in a response of a secondary path estimate filter for modeling the electro-acoustical path of a source audio signal through the transducer, wherein a response of the secondary path estimate filter is adapted in conformity with an error microphone signal indicative of the acoustic output of the transducer.

Abstract: A system and method including equalizing filtering with a controllable transfer function in a signal path downstream of an input signal path, and controlling with filter control signals of the controllable transfer function for filtering according to an adaptive control algorithm based on at least one error signal and an input signal on the input signal path. The adaptive control algorithm includes a windowed magnitude constraint with an integrated post-ringing constraint.

Abstract: Active noise control systems, devices, and methods are disclosed herein. Anti-snoring systems can include a first pillow unit having at least one error microphone and at least one speaker, at least one reference microphone configured to capture sound produced proximate to the at least one reference microphone, and a control unit operatively coupled to the first pillow unit and the at least one reference microphone. In some aspects, the control unit can be configured to produce an anti-noise in the at least one speaker disposed in the first pillow unit by processing signals received from the at least one error microphone and the at least one reference microphone using gated dynamic adjustments such that the anti-noise cancels any sound produced proximate the at least one reference.

Abstract: An active noise reduction system using adaptive filters. A method of operation the active noise reduction system includes smoothing a stream of leakage factors. The frequency of a noise reduction signal may be related to the engine speed of an engine associated with the system within which the active noise reduction system is operated. The engine speed signal may be a high latency signal and may be obtained by the active noise reduction system over audio entertainment circuitry.

Abstract: A system for a seat in a motor vehicle that has a cabin audio system and a bass loudspeaker that is able to generate sound in the cabin. The system includes a seat active suspension system with a vibration sensor coupled to the seat, and a controller that is responsive to the vibration sensor and that outputs control signals that are provided to an electromagnetic actuator that reduces seat vibrations. The active suspension system is arranged such that it can cause a change in the audio system.

Abstract: Systems and methods for selectively ignoring an occurrence of a wakeword within audio input data is provided herein. In some embodiments, a wakeword may be detected to have been uttered by an individual within a modified time window, which may account for hardware delays and echoing offsets. The detected wakeword that occurs during this modified time window may, in some embodiments, correspond to a word included within audio that is outputted by a voice activated electronic device. This may cause the voice activated electronic device to activate itself, stopping the audio from being outputted. By identifying when these occurrences of the wakeword within outputted audio are going to happen, the voice activated electronic device may selectively determine when to ignore the wakeword, and furthermore, when not to ignore the wakeword.

Abstract: Vibration is suppressed in a feedback type VCM actuator. A converting unit converts a position command value into an internal command value varied based on a waveform having a period which is half of a period of a trigonometric function, the position command value being indicative of a position of a mover and changeable step by step. A driving unit receives a position detection value indicating a current position of the mover from a sensor and drives a voice coil motor such that the position detection value matches the internal command value.

Abstract: A smart pillow unit and processes for providing active noise cancellation and biofeedback.

Abstract: Systems and methods are described to reduce undesired audio. An adaptive noise cancellation unit receives a main signal and a reference signal. The main signal has a main signal-to-noise ratio; the reference signal has a reference signal-to-noise ratio. The reference signal-to-noise ratio is less than the main signal-to-noise-ratio. The adaptive noise cancellation unit reduces undesired audio from the main signal. An output signal from the adaptive noise cancellation unit is input to a single channel noise cancellation unit. The single channel noise cancellation unit further reduces undesired audio from the output signal to provide mostly desired audio. A filter control creates a control signal from the main signal and the reference signal to control filtering in the adaptive noise cancellation unit and to control filtering in the single channel noise cancellation unit.

Abstract: The technology described in this document can be embodied in a computer-implemented method that includes receiving, at one or more processing devices, a plurality of values representing a set of coefficients of an adaptive filter over a period of time, and identifying, by the one or more processing devices based on the plurality of values, a phase error associated with a transfer function of the adaptive filter. The method also includes adjusting, based on the identified phase error, a phase associated with the transfer function of the adaptive filter such that coefficients calculated using the adjusted transfer function reduce the phase error. The method further includes determining a set of coefficients for the adaptive filter based on the adjusted transfer function, and programming the adaptive filter with the determined set of coefficients to enable operation of the adaptive filter.

Abstract: A method for determining an estimation of a secondary path transfer characteristic in an ANC system is described herein. In accordance with one example of the invention, the method includes the positioning of a microphone array in a listening room symmetrically with respect to a desired listening position and reproducing at least one test signal using a loudspeaker arranged within the listening room to generate an acoustic signal. The acoustic signal is measured with the microphones of the microphone array to obtain a microphone signal from each microphone of the microphone array, and a numerical representation of the secondary path transfer characteristic is calculated for each microphone signal based on the test signal and the respective microphone signal. The method further includes averaging the calculated numerical representations of the secondary path transfer characteristic to obtain the estimation of the secondary path transfer characteristic to be used in the ANC system.

Abstract: An hearing protection device is provided. The hearing protection device can include a speaker to relay sounds, such as conversations, to the user of the hearing protection. The hearing protection device can include an electronics package that can filter out undesirable sounds, such as to improve the user's ability to hear conversations around them while still protecting the user's ears.

Abstract: A method of analog to digital conversion for a field device having an analog to digital converter system (ADCS) including an ADC and a plurality of filters. An analog sensing signal is received from a sensor which measures a level of a physical parameter in a manufacturing system that runs a physical process. A level of the physical parameter is compared to reference noise data. Based on the comparing, at least one ADCS parameter is determined. The ADCS parameter is implemented to configure the ADCS. The ADCS is utilized with the ADCS parameter to generate a filtered digitized sensing signal from the analog sensing signal.

Abstract: Various methods and systems for estimating a room impulse response between an audio source and an array of microphones are described. In one example, a method includes receiving audio signals at a microphone of an array of microphones. The audio signals correspond to each of the microphones in the array of microphones. The method also includes determining a room impulse response in a subspace that is compatible with a geometry of the array of microphones based on the received audio signals.

Abstract: In accordance with systems and methods of the present disclosure, an adaptive noise cancellation system may include an alignment filter configured to correct misalignment of a reference microphone signal and an error microphone signal by generating a misalignment correction signal.

Abstract: According to one embodiment, an active noise-reduction apparatus includes following units. The reference signal generation unit generates different reference signals based on target sound generated from a sound source. The filter processing unit generates first control signals by filtering the reference signals using first digital filters. The averaging unit generates a second control signal by averaging the first control signals. The control speaker outputs the second control signal as control sound. The error microphone detects a synthetic sound pressure of the target sound and the control sound to generate an error signal. The filter update unit updates the first digital filters so that the error signal is minimized.

Abstract: An earpiece for real-time audio processing of ambient sound includes an ear bud that provides passive noise attenuation to the earpiece such that exterior ambient sound is substantially reduced within an ear of a wearer, an exterior microphone that receives ambient sound and converts the received ambient sound into analog electrical signals, and an analog-to-digital converter that converts the analog electrical signals into digital signals representative of the ambient sounds. The earpiece further includes a digital signal processor that performs a transformation operation on the digital signals according to instructions received from a mobile device, the transformation operation transforms the digital signals into modified digital signals, a digital-to-analog converter that converts the modified digital signals into modified analog electrical signals, and a speaker that outputs the modified analog electrical signals as audio waves.

Abstract: An active noise control system and associated auto-selection method for modeling a secondary path for the active noise control system are provided. The method includes the steps of: receiving a reference signal; filtering the reference signal with a secondary-path estimation filter to obtain a filtered reference signal, wherein the secondary path estimation filter is determined from a plurality of candidate secondary-path estimation filters; filtering the reference signal with an adaptive filter to provide a compensation signal; sensing a residual noise signal at a listening position of the active noise control system; and adapting filter coefficients of the adaptive filter according to the residual noise signal and the filtered reference signal.

Abstract: An anti-noise headset device and a sound processing method thereof are provided. The anti-noise headset device includes an audio receiving module and a control module. The audio receiving module is configured to receive several audio signals in several periods. The control module is electrically coupled to the audio receiving module. The control module is configured to store the audio signals received from a first period to an Nth period as sound data. The control module compares the audio signal received in an (N+1)th period with the sound data so as to generate a relevance value, N is an integer larger than zero. When the relevance value is smaller than a threshold value, the control module filters out a portion of the audio signal received in the (N+1)th period, in which the portion of the audio signal received in the (N+1)th period is relevant to the sound data.