Provided is an acoustic processing apparatus that includes an attachment unit, a sensor that detects deformation of the attachment unit attached to an ear portion of a user, and a control unit that switches a mode for noise cancelling in accordance with a detection result of the deformation of the attachment unit.

This disclosure provides systems, methods, and devices for audio signal processing that support feedback cancellation in a personal audio amplification system. In a first aspect, a method of signal processing includes receiving an input audio signal, wherein the input audio signal includes a desired audio component and a feedback component; and reducing the feedback component by applying a machine learning model to the input audio signal to determine an output audio signal. Other aspects and features are also claimed and described.

For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information including AAC configuration information, and a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations. For example, the controller may be configured to process the input information to determine a sound control pattern to control sound within a sound control zone based on the plurality of noise inputs. For example, the controller may include a Neural-Network (NN) trained to generate an NN output based on an NN input, wherein the NN input is based on the AAC configuration information. For example, the controller may be configured to generate the sound control pattern based on the NN output, and to output the sound control pattern to one or more acoustic transducers.

A frame signal generator is configured to generate a frame signal with a predetermined first time length from an input signal. A reference signal generator is configured to generate a reference signal from a signal located more in a past than a position of the frame signal in the input signal. A correlation value calculator is configured to calculate a correlation value between the frame signal and the reference signal within a range of a predetermined phase shift amount m. A periodic noise determiner is configured to determine whether or not the frame signal includes periodic noise, and calculate a period of the periodic noise in the case where the frame signal includes the periodic noise. A correlation value calculation range generator is configured to generate the range of the predetermined phase shift amount based on the period of the periodic noise.

A system used in a loudspeaker-room-microphone environment includes a microphone signal partitioner that divides a signal from a microphone into one or more divided portions. A reverberation energy estimator estimates reverberation energy in some of the divided portions of the microphone signal based on a loudspeaker signal. The estimated reverberation energy is processed to generate a dereverberated output signal.

For example, a controller of an Active Acoustic Control (AAC) system may be configured to process input information including AAC configuration information, and a plurality of noise inputs representing acoustic noise at a plurality of noise sensing locations. For example, the controller may be configured to process the input information to determine a sound control pattern to control sound within a sound control zone based on the plurality of noise inputs. For example, the controller may include a Neural-Network (NN) trained to generate an NN output based on an NN input, wherein the NN input is based on the AAC configuration information. For example, the controller may be configured to generate the sound control pattern based on the NN output, and to output the sound control pattern to one or more acoustic transducers.

Aspects include approaches for feedback instability control in wearable audio devices. In certain cases, a method of controlling feedback instability in a wearable audio device with an active noise reduction (ANR) system includes: determining a current feedback instability by combining outputs from multiple instability detectors, applying latch logic to the current feedback instability to determine a current mitigation value, and adjusting a driver command signal based on the current mitigation value to mitigate feedback instability.

An open wearable acoustic device and an active noise reduction method are provided. The acoustic device includes a first sound sensor module, a speaker, and a noise reduction circuit. The first sound sensor module includes N sound sensors. The noise reduction circuit determines, based on a target direction from which ambient noise comes, N weights corresponding to the N sound sensors, so that a phase of an integrated ambient noise signal measured by the first sound sensor module based on the N weights is ahead of a phase of the ambient noise reaching a sound output end of the speaker. The noise reduction circuit generates a first noise cancellation signal based on N individual ambient noise signals captured by the N sound sensors, and the N weights. The speaker converts the first noise cancellation signal into a first noise cancellation audio, thereby achieving noise reduction.

An integrated circuit may include an output for providing an output signal to a transducer including both a source audio signal for playback to a listener and an anti-noise signal for countering the effect of ambient audio sounds in an acoustic output of the transducer, an ambient microphone input for receiving an ambient 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 that implements a feedback path having a feedback response that generates a feedback anti-noise signal from the error microphone signal, wherein a signal gain of the feedback path is a function of the ambient microphone signal, and wherein the anti-noise signal comprises at least the feedback anti-noise signal.

The present invention relates to a noise cancellation system, a headset and an electronic device. The noise cancellation system may include a loudspeaker, a first microphone, a second microphone, a housing and a processing unit. The housing may be mounted at an ear of a user, wherein the loudspeaker, the first microphone and the second microphone are installed in the housing. The processing unit may be coupled to the loudspeaker, the first microphone and the second microphone, and may be configured to generate a noise cancelling signal based on at least one of a first audio signal from the first microphone or a second audio signal from the second microphone, wherein the noise cancelling signal, when being output via the loudspeaker, at least partially compensates for environmental noise in the ear of the user.