Real-time gunshot detection and reporting. A computing device detects, in an audio signal received by an audio receiver that includes a plurality of audio receiving elements, at least one gunshot. The computing device determines, based on the plurality of audio receiving elements, an audio location of the at least one gunshot. The computing device sends control signals to at least two cameras to cause the at least two cameras to capture at least two corresponding images of the audio location. The computing device, based on the at least two corresponding images, identifies a gunshot location and transmits a gunshot location identifier that identifies the gunshot location to a destination.

A first input signal captured by one or more sensors associated with an ANR headphone is received. A frequency domain representation of the first input signal is computed for a set of discrete frequencies, based on which a set of parameters is generated for a digital filter disposed in an ANR signal flow path of the ANR headphone, the set of parameters being such that a loop gain of the ANR signal flow path substantially matches a target loop gain. Generating the set of parameters comprises: adjusting a response of the digital filter at frequencies (e.g., spanning between 200 Hz-5 kHz). A response of at least 3 second order sections of the digital filter is adjusted. A second input signal in the ANR signal flow path is processed using the generated set of parameters to generate an output signal for driving the electroacoustic transducer of the ANR headphone.

A computer-implemented method performed by an auditory device includes receiving a current location from a user device. The method further includes determining whether the current location exceeds a distance threshold from a previous location that is associated with a current preset. The method further includes responsive to the current location exceeding the distance threshold, determining whether one or more presets have been previously used in the current location by a user. The method further includes responsive to determining that the one or more presets have been previously used in the current location by the user, applying, with the auditory device, the one or more presets.

A method for determining an estimation of a secondary path transfer characteristic in an ANC system is described herein. In accordance with one example of the invention, the method includes the positioning of a microphone array in a listening room symmetrically with respect to a desired listening position and reproducing at least one test signal using a loudspeaker arranged within the listening room to generate an acoustic signal. The acoustic signal is measured with the microphones of the microphone array to obtain a microphone signal from each microphone of the microphone array, and a numerical representation of the secondary path transfer characteristic is calculated for each microphone signal based on the test signal and the respective microphone signal. The method further includes averaging the calculated numerical representations of the secondary path transfer characteristic to obtain the estimation of the secondary path transfer characteristic to be used in the ANC system.

An anti-noise headset device and a sound processing method thereof are provided. The anti-noise headset device includes an audio receiving module and a control module. The audio receiving module is configured to receive several audio signals in several periods. The control module is electrically coupled to the audio receiving module. The control module is configured to store the audio signals received from a first period to an Nth period as sound data. The control module compares the audio signal received in an (N+1)th period with the sound data so as to generate a relevance value, N is an integer larger than zero. When the relevance value is smaller than a threshold value, the control module filters out a portion of the audio signal received in the (N+1)th period, in which the portion of the audio signal received in the (N+1)th period is relevant to the sound data.

Provided is a signal processing apparatus including an acquisition unit that acquires an acoustic characteristic in a user's ear, isolated from the outside world and an NC filter unit that generates sound data having a phase opposite to an ambient sound leaking into the user's ear. The signal processing apparatus further includes a correction unit that corrects the sound data by using a correction filter and a determination unit that determines a filter coefficient of the correction filter based on the acoustic characteristic.

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.

Techniques for automatic parameter tuning of active road noise cancellation systems are described herein. The system can automatically search for an optimal set of algorithm parameters based on recorded data. An active road noise cancellation algorithm and simulation can be embedded in an auto-differentiation framework, which allows gradients of the algorithm parameters to guide the automatic search and calculations of the algorithm parameters.

A computer-implemented method performed by an auditory device includes receiving a current location from a user device. The method further includes determining whether the current location exceeds a distance threshold from a previous location that is associated with a current preset. The method further includes responsive to the current location exceeding the distance threshold, determining whether one or more presets have been previously used in the current location by a user. The method further includes responsive to determining that the one or more presets have been previously used in the current location by the user, applying, with the auditory device, the one or more presets.