An apparatus comprises a circuitry and an acoustic-capture tile having a surface that is to face an acoustic source that is to emit a first acoustic wave having a first frequency and a second acoustic wave having a second frequency. The acoustic-capture tile comprises a first acoustic-capture subtile electrically coupled to the circuitry, the first acoustic-capture subtile to resonate at the first frequency, wherein the first acoustic-capture subtile is to capture the first acoustic wave and to convert the first acoustic wave into a first electric current in response to resonance at the first frequency. The acoustic-capture tile also comprises a second acoustic-capture subtile electrically coupled to the circuitry, the second acoustic-capture subtile to resonate at the second frequency, wherein the second acoustic-capture subtile is to capture the second acoustic wave and to convert the second acoustic wave into a second electric current in response to resonance at the second frequency.

According to an embodiment, a sound emitting apparatus includes a helical hollow tube and at least three sound wave sources. The helical hollow tube helically extends in a circumferential direction to form an annular shape as a whole. The first helical hollow tube includes a plurality of openings. The at least three sound wave sources are coupled to the first helical hollow tube and are configured to supply a sound wave to the first helical hollow tube.

Disclosed herein is a system for facilitating stress adaption in a workstation. Accordingly, the system may include microphones disposed on the workstation. Further, the one or more microphones may be configured for generating first sound signals of first sounds associated with an environment of the workstation. Further, the system may include a processing device communicatively coupled with the microphones. Further, the processing device may be configured for analyzing the first sound signals, determining first sound characteristics of the first sounds, determining second sound characteristics of second sounds, and generating second sound signals for the one or more second sounds. Further, the system may include acoustic devices disposed on the workstation. Further, the acoustic devices may be communicatively coupled with the processing device. Further, the acoustic devices may be configured for emitting the second sounds based on the second sound signals. Further, the second sounds destructively interfere with the first sounds.

A collaborative distributed microphone array is configured to perform or be used in sound quality operations. A distributed microphone array can be operated to provide sound quality operations including sound suppression operations and speech intelligibility operations for multiple users in the same environment.

A method performed by an audio output device is provided for detecting instabilities and taking mitigating actions. Specifically, an A-weighted dBA level of a raw feedback signal exceeding a threshold level trigger, at least, muting the driver. The described methods apply to detecting instabilities across a broad frequency spectrum.

The present disclosure provides a method and an apparatus for noise reduction, and a headset. The method of noise reduction includes: acquiring a first reference noise signal; acquiring an initial direction of desired speech in response to a trigger signal; acquiring a real-time direction of desired speech based on a real-time orientation of the headset and the initial direction of desired speech, the real-time orientation being obtained by orientation tracking for the headset; filtering out a desired speech signal from the first reference noise signal to acquire an undesired noise signal, the desired speech signal being extracted in the real-time direction of desired speech; and filtering the undesired noise signal to output an inverse noise signal for speaker playback. Thus, using the method of noise reduction, not only the undesired noise in the ambient noise can be cancelled, but also the desired speech signal can be retained.

An active noise control device controls a speaker so as to output a canceling sound for canceling noise transmitted from a vibration source. The active noise control device includes a control signal generating unit configured to perform signal processing on a basic signal corresponding to a predetermined frequency by a feedback filter and a extraction filter, which is an adaptive notch filter, to generate a control signal that control the speaker, a secondary path filter updating unit configured to update sequentially and adaptively a secondary path filter, and a feedback filter setting unit configured to set the feedback filter based on the secondary path filter.

A vibration cancellation method is a vibration cancellation method for canceling vibration arriving at a seat from outside of the seat, the vibration being transmitted to a user seated in the seat. The method includes canceling, by a vibration cancellation unit (4), a vibration by outputting a cancellation signal from a position close to a position where user's head is placed when a user is seated, the cancellation signal being obtained based on a reference signal and an error signal. The reference signal is obtained by a vibration sensor (2) disposed in a position close to a vibration source outside the seat in the seat, and the error signal is obtained by an error vibration sensor (3) disposed in the position close to the position where user's head is placed when the user is seated in the seat.

An echo filtering method, an electronic device, a computer-readable storage medium, and an echo filtering apparatus are disclosed. The electronic device includes M microphones and N speakers. M and N are integers greater than 1. The method includes: obtaining N speaker signals corresponding to the N speakers (302); obtaining M microphone signals corresponding to the M microphones (304); and performing at least direct sound filtering on the N speaker signals and the M microphone signals to obtain a target signal (306). By using this method, better echo filtering effect can be obtained.

The present invention provides a device for actively cancelling a target sound wavefront in an open space, the device comprising a signal processing module comprising at least one processor operatively coupled with a datastore, the at least one processor configured to: receive a data comprising one or more geographical features, and one or more audio features generated by one or more receiving microphones having a geographical relationship with an array of receiving microphones in an area adjacent to a user; process aid data using a prediction model adapting a trained deep learning framework; and provide output the inverse sound wavefront of the target sound at the area of said predicting microphones.