An example method of operation may include receiving audio data at one or more microphones disposed in a corresponding plurality of network devices, identifying amplitude values of the audio data at each of the plurality of network devices, and each of the amplitude values identified at each of the plurality of network devices are different from each other of the amplitude values, determining at each of the plurality of network devices a location of the audio data based on a direction and amplitude of the received audio data, modifying the audio data for output via a plurality of loudspeakers disposed in each of the plurality of network device, and outputting, via the plurality of loudspeakers, the modified audio data, and each loudspeaker outputs different versions of the modified audio data.

A wind noise reduction system includes a delay and sum (DAS) beamformer, an MVDR beamformer, a wind detector, a GEV beamformer, and a fixed voice mixer. The DAS beamformer generates a first voice signal based on a first and second microphone signal. The MVDR beamformer generates a second voice signal based on the first and second microphone signals. The GEV beamformer generates a wind array voice signal based on the first and second microphone signals and an accelerometer signal. The wind detector generates a wind detection signal based on the first voice signal and the second voice signal. The fixed voice mixer generates an output voice signal based on a microphone array voice signal, the wind array voice signal, and the wind detector signal. If high winds are detected, the output voice signal includes elements of the wind array voice signal based in part on the accelerometer signal.

Embodiments of the present application disclose an interaction method, an interaction apparatus, and user equipment. The method comprises: determining shape related information of a deformable sound sensing array surface, where the shape related information corresponds to a first shape of the deformable sound sensing array surface after a folding deformation; determining multiple effective interaction areas on the deformable sound sensing array surface at least according to the shape related information, where the multiple effective interaction areas meet the following conditions: in nonadjacent positions on the deformable sound sensing array surface, and adjacent in a spatial position in the first shape; and using the multiple effective interaction areas as one interaction area at least according to a first relative position of the multiple effective interaction areas in the spatial position in the first shape to provide a sound sensing interface to at least one interaction object. The technical solutions in the embodiments of the present application can bring new experience to a user according to a deformation property of a deformable device.

A mobile platform for calibrated data acquisition includes a transceiver within the mobile platform, a locomotion unit configured to move the mobile platform within an area, a sensor coupled with the locomotion unit and configured to output a signal, and a controller that is configured to request a measurement of a parameter from the sensor, remove from the measurement, background noise associated with the mobile platform, thereby focusing the measurement to foreground noise, in response to the mobile platform reaching a new position and direction, request a second measurement of the parameter from the sensor, remove from the second measurement, background noise associated with the mobile platform at the new position, aggregate the signal from the sensor and associated position and direction to create an energy map via spatio-dynamic beamforming, and analyzing the energy map to identify a state of an apparatus in the area.

Disclosed are a directional acoustic sensor, a method of adjusting directional characteristics using the directional acoustic sensor, and a method of attenuating an acoustic signal in a specific direction using the directional acoustic sensor. The directional acoustic sensor includes a plurality of resonance units arranged to have different directionalities and a signal processor configured to adjust directional characteristics by calculating at least one of a sum of and a difference between outputs of the resonance units. In this state, the signal processor attenuates an acoustic signal in a specific direction by using a plurality of directional characteristics obtained by calculating at least one of the sum of and the difference between the outputs of the resonance units at a certain ratio.

This disclosure describes an apparatus and method of an embodiment of an invention that is a band-limited beamforming microphone array with acoustic echo cancellation that includes: a plurality of first microphones configured as a beamforming microphone array to resolve first audio input signals within a first frequency range, the beamforming microphone array includes acoustic echo cancellation; one or more additional microphone(s) configured to resolve second audio input signals within a restricted second frequency range such that the additional microphone(s) are coupled to the beamforming microphone array; augmented beamforming that processes audio signals from the beamforming microphone array and the additional microphone(s).

Examples of the disclosure relate to apparatus, electronic devices, methods and computer programs. The apparatus are configured to obtain at least a first audio signal and a second audio signal wherein the first audio signal and the second audio signal are captured by a microphone array including at least two microphones. The apparatus are also configured to identify at least a first direction and at least a second direction. The first and second directions are identified for a plurality of frequency bands. The first direction and the second direction are identified by using delay parameters between at least the first audio signal and the second audio signal.

A system and method for generating a self-steering beamformer is provided. Embodiments may include receiving, at one or more microphones, a first audio signal and adapting one or more blocking filters based upon, at least in part, the first audio signal. Embodiments may also include generating, using the one or more blocking filters, one or more noise reference signals. Embodiments may further include providing the one or more noise reference signals to an adaptive interference canceller to reduce a beamformer output power level.

Some of the embodiments of the present disclosure provide a device comprising: a first channel configured to receive a signal, wherein the signal comprises (i) a target signal and (ii) a background signal; a second channel configured to receive the signal a time t after the first channel receives the signal; a delay control circuit configured to iteratively determine a fractional delay to maximize a correlation coefficient between the signal on the first channel and the signal on the second channel; and an adaptive fractional delay filter in the first channel configured to adaptively align, in the digital domain, the signal on the first channel with the signal on the second channel based, at least in part, on the fractional delay.

Example techniques involve noise-robust acoustic echo cancellation. An example implementation may involve causing one or more speakers of the playback device to play back audio content and while the audio content is playing back, capturing, via the one or more microphones, audio within an acoustic environment that includes the audio playback. The example implementation may involve determining measured and reference signals in the STFT domain. During each n.sup.th iteration of an acoustic echo canceller (AEC): the implementation may involve determining a frame of an output signal by generating a frame of a model signal by passing a frame of the reference signal through an instance of an adaptive filter and then redacting the n.sup.th frame of the model signal from an n.sup.th frame of the measured signal. The implementation may further involve determining an instance of the adaptive filter for a next iteration of the AEC.