An adaptive noise canceling (ANC) circuit adaptively generates an anti-noise signal from a reference microphone signal that is injected into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone proximate the speaker provides an error signal. A secondary path estimating adaptive filter estimates the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. Tones in the source audio, such as remote ringtones, present in downlink audio during initiation of a telephone call, are detected by a tone detector using accumulated tone persistence and non-silence hangover counting, and adaptation of the secondary path estimating adaptive filter is halted to prevent adapting to the tones. Adaptation of the adaptive filters is then sequenced so any disruption of the secondary path adaptive filter response is removed before allowing the anti-noise generating filter to adapt.

Embodiments of the present application provide a method and system for active noise control, which can meet different needs of different consumers on sound quality of headphones. The method includes: determining an expected noise control curve of performing active noise control on a target object; determining a target filter according to the expected noise control curve and a filter model; and performing noise control processing on an external noise signal using the target filter.

An electronic device includes a communication module, and a processor. The processor is configured to identify context information. The processor is also configured to select a specific task corresponding to the context information from among predetermined inference tasks relating to processing of an audio signal The processor is further configured to select an external electronic device, which is to process the specific task, from among external electronic devices that are establishing a communication connection to the electronic device. Additionally, the processor is configured to assign processing of the specific task to the external electronic device.

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.

Active noise-cancelling (ANC) headphones in the form of a part of a headset or as in-ear headphones that reduce acoustic adaptation by providing an electrodynamic speaker in a housing with ventilation openings and an acoustically permeable front panel. These components form a module that can be integrated into ANC headphones, permitting its installation in different headphones without customization. The module reacts to a reduction of the impermeability situation in such a manner, that an impedance change of the speaker takes place below 100 Hz. For example, a microphone and electronics with a feedback filter for active noise cancellation can be provided that form a secondary route between speaker and microphone. In a further development, an evaluation unit is provided which detects and evaluates a change in the impedance of the speaker and adapts the feedback loop.

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.

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 control apparatus and method for noise cancellation in a physical area. The control apparatus receives a trigger input which includes information about a first physical area and further controls an image capturing device to capture at least one first image of the first physical area based on the received trigger input. The control apparatus further determines a number of occupants of a first set of occupants present in the first physical area and scene information corresponding to the first physical area based on the captured at least one first image. The control apparatus further controls a movement of a first plurality of unmanned aerial vehicles (UAVs) in a physical three-dimensional (3D) space to create a virtual noise cancellation boundary around the first physical area based on the determined number of occupants of the first set of occupants and the scene information.

With respect to a noise reduction device using a speaker and a microphone corresponding to each seat in a vehicle to reduce a noise in each seat, the noise reduction device includes, a signal processing unit configured to generate a canceling sound that reduces a noise at an ear of an occupant in a predetermined seat by using an auxiliary filter, an operation setting unit configured to disable operations of a speaker and a microphone corresponding to each empty seat in the vehicle, and an auxiliary filter setting unit configured to change a setting value of the auxiliary filter used by the signal processing unit to generate the canceling sound in accordance with the number of occupants in seats other than the predetermined seat, the seats affecting the noise in the predetermined seat.

A method performed by an audio system that includes a headset. The method identifies a cushion that is coupled to a headset housing of the headset in which a speaker is integrated therein, produces a reference microphone signal from a reference microphone of the headset, selects an active noise cancellation (ANC) filter based on the identified cushion, filters the reference microphone signal with the ANC filter to produce an anti-noise signal, drives the speaker with the anti-noise signal, in response to driving the speaker, produces an error microphone signal from an error microphone of the headset, and performs an adaptive ANC function to adapt the ANC filter based on the reference microphone signal and the error microphone signal.