Abstract: An image capture device, having: a housing, a lens snout, a front microphone, a top microphone, and an audio processor. The housing has a top and front housing surface. The lens snout protrudes from the front housing surface. The front microphone mounted within or on the front housing surface and below the lens snout. The top microphone mounted within or on a top housing surface in a position biased toward the front housing surface. The audio processor comprises a memory that is configured to store instructions that when executed cause the audio processor to generate an output audio signal. The top microphone is located at a position to receive direct freestream air flow when the housing is positioned in a pitched forward orientation at a pitched forward angle relative to a vertical axis. The front microphone receives turbulent air flow from the lens snout when the housing is positioned in the pitched forward orientation.

Abstract: 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.

Abstract: An electronic device may use differential microphone arrays for beamforming. The electronic device may include a first microphone for obtaining a first microphone signal and a second microphone for obtaining a second microphone signal. The electronic device may include a processor to process the microphone signals to obtain frequency bins. The processor may apply delay coefficients to the frequency bins of the microphone signals to obtain a delayed signal. The delay coefficients may be based on a phase difference between the microphone signals. The phase difference may be a function of frequency. The processor may be configured to combine the delayed signal with the first microphone signal or the second microphone signal to obtain a beamformed signal. The electronic device may include a memory to store the beamformed signal.

Abstract: 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.

Abstract: An image capture device includes a housing having a lens snout protruding from a front housing surface. A front microphone is mounted below the lens snout. A top microphone is mounted under a top housing surface. The top microphone is positioned to receive direct freestream air flow at a first pitched forward angle. The front microphone is positioned to receive turbulent air flow at a second pitched forward angle. The second pitched forward angle is greater than or equal to the first pitched forward angle. An audio processor receives a first audio signal and a second audio signal from the top microphone and front microphone, respectively. The audio processor generates frequency sub-bands from the first and second audio signals. The audio processor selects the frequency sub-bands with the lowest noise metric and combines them to generate an output audio signal.

Abstract: An integrated circuit includes a processor that upsamples a vibration signal. The processor determines a correlation value. The correlation value may be based on a microphone signal, the upsampled vibration signal, or both. The processor determines filter coefficients. The filter coefficients may be determined based on the correlation value being above a threshold. The filter coefficient may be based on the upsampled vibration signal. The processor filters the vibration signal based on the filter coefficients to remove a noise portion and obtain a processed microphone signal. The processor outputs the processed microphone signal.

Abstract: An image capture device includes an audio depression formed into the housing with a drainage microphone mounted therein. A cover protects the drainage microphone disposed beneath the cover from an environment external to the image capture device. The cover and audio depression define a drainage channel extending from a channel entrance, through a channel volume, and out a channel exit. The surface area of the opening of the channel entrance is proportioned relative to the channel volume such that the ratio of the surface area to volume is greater than ten percent. This allows the cover to shift resonance outside of a desired frequency band.

Abstract: An image capture device includes a housing having a lens snout protruding from a front housing surface. A front microphone is mounted below the lens snout. A top microphone is mounted under a top housing surface. The top microphone is positioned to receive direct freestream air flow at a first pitched forward angle. The front microphone is positioned to receive turbulent air flow at a second pitched forward angle. The second pitched forward angle is greater than or equal to the first pitched forward angle. An audio processor receives a first audio signal and a second audio signal from the top microphone and front microphone, respectively. The audio processor generates frequency sub-bands from the first and second audio signals. The audio processor selects the frequency sub-bands with the lowest noise metric and combines them to generate an output audio signal.

Abstract: An image capture device includes a processor for wind noise processing. The processor receives signals from a first microphone, a first plurality of microphones, and a second plurality of microphones. The processor may segment the signals into low frequency bins and high frequency bins. The processor may select a minimum level signal bin for the low frequency bins. For the high frequency bins, the processor may select a minimum level signal bin for a first group of microphones or a second group of microphones. The processor may generate a composite signal by combining the selected minimum level signal bins for the low frequency bins and the selected minimum level signal bins for the high frequency bins.

Abstract: 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.

Abstract: A camera is configured with multiple microphones to reduce wind noise in audio data collected by the camera. The camera receives motion data, which may comprise data indicating acceleration of the camera, a plurality of video frames received by the camera, or a background level of noise associated with one or more microphones configured on the camera. The camera determines a motion vector from the motion data. The motion vector is parallel to the direction of motion of the camera. The camera selects a subset of one or more microphones in the direction of the motion vector. By recording audio data using the one or more selected microphones, the camera reduces wind noise in the audio data.

Abstract: An image capture device may include a microphone, a vibration sensor, and a processor. The microphone may obtain a microphone signal that includes an acoustic signal portion and a mechanical noise portion. The vibration sensor may obtain a vibration signal. The processor may upsample the vibration signal. The processor may determine a correlation value. The correlation value may be based on the microphone signal, the upsampled vibration signal, or both. The processor may determine filter coefficients. The filter coefficients may be determined on a condition that the correlation value is above a threshold. The filter coefficient may be based on the upsampled vibration signal. The processor may filter the vibration signal based on the filter coefficients to remove the mechanical noise portion and obtain a processed microphone signal. The processor may output the processed microphone signal.

Abstract: A camera includes one or more microphone pairs. A first microphone (e.g., a main microphone) is ported to the outside of the camera and captures the desired external audio signal, but may also capture undesired vibrational noise. A second microphone has a similar structure to the first microphone, but is not ported to the outside of the camera. Instead, the second microphone is ported into an enclosed cavity (e.g., 1-2 cubic centimeters in volume). The second microphone may pick up the same vibration excitation and internal acoustic noise as the first microphone but very little of the desired external acoustic sounds around the camera. The unwanted noise can then be removed by subtracting the second audio signal from the second microphone from the main audio signal from the main microphone.

Abstract: An image capture device includes a processor for wind noise processing. The processor receives signals from a first microphone, a first plurality of microphones, and a second plurality of microphones. The processor may segment each signal into low frequency bins and high frequency bins. The processor may select a minimum level signal bin for each low frequency bin. For the high frequency bins, the processor may select a minimum level signal bin for a first group of microphones or a second group of microphones. The processor may generate a composite signal by combining the selected minimum level signal bins for each low frequency bin and the selected minimum level signal bins for each high frequency bin.

Abstract: An audio capture device selects between multiple microphones to generate an output audio signal depending on detected conditions. The audio capture device determines whether one or more microphones are wet or dry and selects one or more audio signals from the one or more microphones depending on their respective conditions. The audio capture device generates a mono audio output signal or a stereo output signal depending on the respective conditions of the one or more microphones.

Abstract: An image capture device may include a sensor, a microphone array, and a processor. The microphone array may include a first microphone, a second microphone, a third microphone, or any combination thereof. The first microphone may be configured to face a first direction. The second microphone may be configured to face a second direction. The second direction may be diametrically opposed to the first direction. The third microphone may be configured to face a third direction. The third direction may be substantially perpendicular to the first direction, the second direction, or both. The processor may be configured to determine a microphone capture pattern. The microphone capture pattern may be determined based on data obtained from the sensor. The sensor data may include image data, audio data, image capture device orientation data, location data, accelerometer data, or any combination thereof.

Abstract: An image capture device may include a microphone, a vibration sensor, and a processor. The microphone may obtain a microphone signal that includes an acoustic signal portion and a mechanical noise portion. The vibration sensor may obtain a vibration signal. The processor may upsample the vibration signal. The processor may determine a correlation value. The correlation value may be based on the microphone signal, the upsampled vibration signal, or both. The processor may determine filter coefficients. The filter coefficients may be determined on a condition that the correlation value is above a threshold. The filter coefficient may be based on the upsampled vibration signal. The processor may filter the vibration signal based on the filter coefficients to remove the mechanical noise portion and obtain a processed microphone signal. The processor may output the processed microphone signal.

Abstract: 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.

Abstract: The present disclosure relates to processing a plurality of audio signals. A device receives the plurality of audio signals in the frequency domain and determining an overall attenuation multiplier based on the plurality of audio signals and an overall lookup table that relates decibel values to different overall attenuation multipliers. The device determines an attenuation vector comprising a plurality of bin-specific attenuation multipliers, each bin-specific attenuation multiplier respectively corresponding to a different frequency bin of the plurality of frequency bins. The device scales each bin-specific attenuation value in the attenuation vector with the overall attenuation multiplier, and edits each of the audio signals based on the scaled bin-specific attenuation values in the attenuation vector.

Abstract: A camera includes one or more microphone pairs. A first microphone (e.g., a main microphone) is ported to the outside of the camera and captures the desired external audio signal, but may also capture undesired vibrational noise. A second microphone has a similar structure to the first microphone, but is not ported to the outside of the camera. Instead, the second microphone is ported into an enclosed cavity (e.g., 1-2 cubic centimeters in volume). The second microphone may pick up the same vibration excitation and internal acoustic noise as the first microphone but very little of the desired external acoustic sounds around the camera. The unwanted noise can then be removed by subtracting the second audio signal from the second microphone from the main audio signal from the main microphone.