An in-ear device is implemented as part of an audio system to present a user with improved audio content within an artificial reality system. The in-ear device is a fully integrated device with an internal microphone, an external microphone, and a transducer in which portions of the transducer form portions of the body of the device. This integration of transducer into the body of the in-ear device reduces the size of the in-ear device and allows for placement deeper within the ear canal of the user. The transducer generates audio content based on instructions received from an audio system that may be located on a device that is external to the in-ear device. The external microphone provides hear-through functionality, while the internal microphone provides feedback information to the audio system.

A noise cancellation headphone comprises a speaker, a front plate for carrying the speaker, a microphone arranged on or in the front plate, and a front vent opening arranged within the front plate and in close proximity to the microphone. The microphone is usable as a feedback microphone for active noise cancellation.

A noise cancellation headphone comprises a speaker, a front plate for carrying the speaker, a microphone arranged on or in the front plate, and a front vent opening arranged within the front plate and in close proximity to the microphone. The microphone is usable as a feedback microphone for active noise cancellation.

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.

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.

[Object] To reduce the influence of noise in a more preferred aspect even in an environment in which a user hears an acoustic sound output to an open space.

[Solution] A signal processing device includes: a generation unit configured to generate a first noise reduction signal for driving a first acoustic device which outputs a first acoustic sound for reducing noise; and an acquisition unit configured to acquire a sound collection result of an acoustic sound collected by a predetermined sound collection unit, the acoustic sound including the first acoustic sound propagating from the first acoustic device via a first propagation path and a second acoustic sound propagating from a second acoustic device different from the first acoustic device via a second propagation path. The generation unit generates the first noise reduction signal on a basis of the sound collection result and a cancellation signal based on a second noise reduction signal for driving the second acoustic device.

A howling suppression system comprises a system on chip. The system on chip is configured to via an adaptive notch filter, adaptively adjust to a notch frequency point in steps, and perform a first notch filtering on energy corresponding to the notch frequency point adjusted to; via a processor, obtain a mean and a variance of a notch parameter of the adaptive notch filter associated with the notch frequency point, and determine that the adaptive notch filter is in a convergence state and the notch frequency point is a howling frequency when the mean of the notch parameter is within a preset range and the variance is less than a first threshold; when the adaptive notch filter is in the convergence state, use the audio signal with the howling frequency point having been notch-filtered by the adaptive notch filter as an output of the howling suppression system.

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 handling of disturbances to audio signals may be improved with an adaptive noise cancellation (ANC) system that performs tone suppression and howl suppression in a collaborative manner. Such ANC systems may be configured to detect a first tone in an input signal at a first tone frequency and extract the detected first tone from the input signal. The ANC systems may also be configured to adaptively filter the extracted first tone to generate a second tone that has a magnitude that is approximately equal to a magnitude of the extracted first tone and a phase that is approximately opposite the phase of the extracted first tone. The ANC systems may be further configured to add the second tone to an intermediate signal that is based, at least in part, on the input signal to generate the output signal.

The handling of disturbances to audio signals may be improved with an adaptive noise cancellation (ANC) system that performs tone suppression and howl suppression in a collaborative manner. Such ANC systems may be configured to detect a first tone in an input signal at a first tone frequency and extract the detected first tone from the input signal. The ANC systems may also be configured to adaptively filter the extracted first tone to generate a second tone that has a magnitude that is approximately equal to a magnitude of the extracted first tone and a phase that is approximately opposite the phase of the extracted first tone. The ANC systems may be further configured to add the second tone to an intermediate signal that is based, at least in part, on the input signal to generate the output signal.