An earphone includes a feedforward microphone located outside ear and a feedback microphone located inside ear. A method for recognizing wind noise of the earphone includes: feedforward microphone signal collected by feedforward microphone and feedback microphone signal collected by feedback microphone are acquired; Fourier transform is performed on feedforward and feedback microphone signals to obtain a feedforward microphone frequency domain signal and a feedback microphone frequency domain signal; inverse feedback filtering processing is performed on the feedback microphone frequency domain signal to obtain an inverse feedback filtering processing result; inverse feedforward filtering processing is performed on the feedforward microphone frequency domain signal and the inverse feedback filtering processing result to obtain an inverse hybrid filtering processing result; and a wind noise recognition result of the earphone is obtained based on an interrelationship between the inverse feedback filtering processing result and the inverse hybrid filtering processing result.

An earphone includes a first microphone located outside an ear and a second microphone located inside the ear. A method for recognizing wind noise of the earphone includes: a first microphone signal collected by the first microphone and a second microphone signal collected by the second microphone are acquired; a first frequency domain filtered signal is obtained based on the first microphone signal and the second microphone signal; and obtaining a wind noise recognition result of the earphone based on coherence between the first microphone signal and the first frequency domain filtered signal.

Techniques for auditory augmented reality using selective noise cancellation include receiving an input signal capturing an ambient auditory environment; separating the input signal into a set of audio signals that includes first and second component signals; and in response to generating the set of audio signals: generating a context-sensitive user interface that displays a plurality of first controls for modifying the first component signal and a plurality of second controls for modifying the second component signal, the plurality of first controls being independent from the plurality of second controls; receiving, from a user, a selection to remove the first component signal; and in response to receiving the selection: removing the first component signal from the set of audio signals to generate a modified set of audio signals that includes the second component signal; and driving an audio output device to generate sound based on the modified set of audio signals.

A noise reduction device includes a processor that converts a noise signal collected by a microphone disposed in a control space into a noise signal in a frequency domain, a storage that stores the converted noise signal in the frequency domain as a reference signal, and a signal generator that generates a noise reduction signal for reducing the noise signal collected by the microphone at a control position of the control space. The processor determines whether or not the noise signal is non-stationary noise based on a frequency characteristic of the converted noise signal in the frequency domain and a frequency characteristic of the reference signal. When it is determined that the noise signal is the non-stationary noise, the processor controls the signal generator so as to cancel generation of the noise reduction signal.

The present disclosure provides an acoustic device including a microphone array, a processor, and at least one speaker. The microphone array may be configured to acquire an environmental noise. The processor may be configured to estimate a sound field at a target spatial position using the microphone array. The target spatial position may be closer to an ear canal of a user than each microphone in the microphone array. The processor may be configured to generate a noise reduction signal based on the environmental noise and the sound field estimation of the target spatial position. The at least one speaker may be configured to output a target signal based on the noise reduction signal. The target signal may be used to reduce the environmental noise. The microphone array may be arranged in a target area to minimize an interference signal from the at least one speaker to the microphone array.

A noise cancellation technique is presented with improved frequency resolution. The method includes: acquiring a digitized noise signal from an environment in which the audio signal stream is present; receiving a data sample from the digitized noise signal; appending one or more additional samples to the data sample to form a series of samples, where magnitude for each of the one or more additional samples is substantially zero; computing a frequency domain representation of the series of samples in the frequency domain; shifting the frequency domain representation of the series of samples in time using the digital processor circuit, thereby producing a shifted frequency domain representation of the series of samples; converting the shifted frequency domain representation of the series of samples to time domain to form a portion of an anti-noise signal; and outputting the anti-noise signal into the audio signal stream to abate the noise through destructive interference.

An earphone includes a feedforward microphone located outside ear and a feedback microphone located inside ear. A method for recognizing wind noise of the earphone includes: feedforward microphone signal collected by feedforward microphone and feedback microphone signal collected by feedback microphone are acquired; Fourier transform is performed on feedforward and feedback microphone signals to obtain a feedforward microphone frequency domain signal and a feedback microphone frequency domain signal; inverse feedback filtering processing is performed on the feedback microphone frequency domain signal to obtain an inverse feedback filtering processing result; inverse feedforward filtering processing is performed on the feedforward microphone frequency domain signal and the inverse feedback filtering processing result to obtain an inverse hybrid filtering processing result; and a wind noise recognition result of the earphone is obtained based on an interrelationship between the inverse feedback filtering processing result and the inverse hybrid filtering processing result.

An acoustic device includes: an imaging device configured to take a sample image of a space as a sound field and create an image data on the space based on the taken sample image; a sound collector configured to collect a sound generated in the space or to collect a previously-collected acoustic data therein; and a computation part configured to previously compute a plurality of parameters relevant to a coefficient of spatial acoustic filter corresponding to the sample image of the space and previously learn a sound field model of the space shown in the sample image. The computation part is configured to construct a sound field model of the sample image taken by the imaging device or of a previously-taken sample image, from the acoustic data collected by the sound collector, using the coefficient of spatial acoustic filter.

Embodiments of systems and methods are described for reducing undesired leakage energy produced by a non-front-facing speaker in a multi-speaker system. For example, the multi-speaker system can include an array of forward-facing speakers, one or more upward-facing speakers, and/or one or more side-facing speakers. Filters coupled to any two of the speakers in the multi-speaker system can generate audio signals output by the coupled speakers to reduce, attenuate, or cancel a portion of an audio signal output by one or more non-front-facing speakers that acoustically propagates along a direct path from the respective non-front-facing speaker to a listening position in a listening area in front of the multi-speaker system.

Detecting a divergence in an adaptive system includes the steps of determining a power of a component of an error signal at a first frequency, the component being correlated to a noise-cancellation signal, the noise-cancellation signal being produced by an adaptive filter and being configured to cancel noise within a predetermined volume when transduced into acoustic signal, wherein the error signal represents a magnitude of a residual noise within the predetermined volume; determining a time gradient of the power of the component of the error signal; and comparing a metric to a threshold, wherein the metric is based, at least in part, on a value of the time gradient of the power of the component of the error signal over a period of time.