An image capture device with dynamic wind noise compression tuning techniques is described. A technique includes detecting of the presence of wind noise by measuring coherence between at least two microphones. For a compressor, adjusting a default compression threshold and default compression parameters based on the coherence measurements. For each microphone, applying by the compressor the adjusted compression parameters when an audio signal is above the adjusted compression threshold and applying the default compression parameters when the audio signal is below the adjusted compression threshold.

Method to perform dynamic beamforming to reduce SNR in signals captured by head-wearable apparatus starts with microphones generating acoustic signals. Microphones are coupled to first stem of the apparatus and to second stem of the apparatus. First and second beamformers generate first and second beamformer signals, respectively. Noise suppressor attenuates noise content from the first beamformer signal and the second beamformer signal. Noise content from first beamformer signal are acoustic signals not collocated in second beamformer signal and noise content from second beamformer signal are acoustic signals not collocated in first beamformer signal. Speech enhancer generates clean signal comprising speech content from first noise-suppressed signal and second noise-suppressed signal. Speech content are acoustic signals collocated in first beamformer signal and second beamformer signal.

Wind noise reduction in microphone signals. A first microphone signal is obtained from a first omnidirectional microphone and, contemporaneously, a second microphone signal is obtained from a second omnidirectional microphone. The first and second microphone signals are mixed to produce an output signal. Mixing involves weighting the first and second microphone signals by respective first and second signal weights to produce respective first and second weighted microphone signals, and summing the first and second weighted microphone signals together to produce the output signal. The first and second signal weights are calculated to minimize the power of the output signal.

A signal processing device according to an embodiment includes: two or more microphones each provided with a sound collection unit directed to an outside of a housing including a driver unit, a control unit (102b) that performs a hearing control of sound output from the driver unit to a listener based on sound signals collected and output by the two or more microphones, and an adjustment unit (200) that adjusts a degree of the hearing control between a degree for wind and a degree for non-wind based on a correlation between the sound signals.

A camera, having: microphones including: a first microphone; and a second microphone. The camera including a sensor controller. The sensor controller being configured to receive audio, select between the microphones, and record the audio. The sensor controller receives the audio inputs from the first microphone and the second microphone. The sensor controller selects the first microphone or the second microphone based on the audio inputs so that one of the first and second microphones is a selected microphone, wherein the selected microphone receives the audio input having the lowest level of background noise within a predetermined frequency range associated with background noise. The sensor controller records audio data from only the selected microphone.

An audio capture device selects between multiple microphones to generate an output audio signal depending on detected conditions. When the presence of wind noise or other uncorrelated noise is detected, the audio capture device selects, for each of a plurality of different frequency sub-bands, an audio signal having the lowest noise and combines the selected frequency sub-bands signals to generate an output audio signal. When wind noise or other uncorrelated noise is not detected, the audio capture device determines whether each of a plurality of microphones are wet or dry and selects one or more audio signals from the microphones depending on their respective conditions.

Various implementations include systems for processing inner microphone audio signals. In particular implementations, a system includes an external microphone configured to be acoustically coupled to an environment outside an ear canal of a user; an inner microphone configured to be acoustically coupled to an environment inside the ear canal of the user; and an adaptive noise cancelation system configured to process an internal signal captured by the inner microphone and generate a noise reduced internal signal, wherein the noise reduced internal signal is adaptively generated in response to an external signal captured by the external microphone.

A system includes a microphone unit coupled to a roof of an autonomous vehicle. The microphone unit includes a microphone board having a first opening. The microphone unit also includes a first microphone positioned over the first opening and coupled to the microphone board. The microphone unit further includes an accelerometer. The system also includes a processor coupled to the microphone unit.

A digital camera includes an optical assembly and image sensor for capturing still and/or video images and displaying the images on a screen. The camera includes three or more spaced apart microphones aligned with the optical assembly for capturing audio during image capture. At least two pairs of microphones are spaced apart along orthogonal directional axes for capturing left-right stereo sound in any camera orientation.

A noise cancelation system for an unmanned aerial vehicle may have an audio capture module, a metadata module and a filter. The audio capture module may be configured to receive an audio signal captured from a microphone, e.g., on a camera. The metadata module may be configured to retrieve noise information associated with noise generating components operating on the unmanned aerial vehicle (UAV). The filter may be configured to receive the audio signal and noise information from the audio capture module. The filter also may be configured to retrieve a baseline profile from a database based on the noise information. The baseline profile includes noise parameter to filter out audio frequencies from the audio signal corresponding to the noise generating component. The filter may generate a filtered audio signal for output.