Gopro, Inc.

Aliphcom

Other

Jawbone Innovations, LLC

Aplihcom

Zhinian Jing

Scott Patrick Campbell

Erich Tisch

Gregory C Burnett

Joyce Rosenbaum

Ke Li

Nicolas Jean Petit

David A Newman

Balineedu Chowdary Adsumilli

Magnus Hansson

Timothy Macmillan

Paul Eric Beckmann

Thomas Alan Donaldson

Steven F Forestieri

Michael Goertz

Timothy MacMillan

Nicolas Petit

A camera includes a first microphone, a second microphone, one or more drains, and a processor. The processor determines a correlation metric between portions of audio signals obtained from the first and second microphones. The one or more drains drain water away from the first microphone, the second microphone, or both. The camera includes a memory to store the portions of the audio signals as portions of an output audio signal.

Drainage channels for use in a camera

Acoustic Voice Activity Detection (AVAD) methods and systems are described. The AVAD methods and systems, including corresponding algorithms or programs, use microphones to generate virtual directional microphones which have very similar noise responses and very dissimilar speech responses. The ratio of the energies of the virtual microphones is then calculated over a given window size and the ratio can then be used with a variety of methods to generate a VAD signal. The virtual microphones can be constructed using either an adaptive or a fixed filter.

Acoustic voice activity detection (AVAD) for electronic systems

A camera includes a first microphone, a second microphone, and a processor. The processor determines a correlation metric between portions of audio signals obtained from the first and second microphones. The camera includes a memory to store the portions of the audio signals as portions of an output audio signal.

Automatically determining a wet microphone condition in a camera

A camera system capable of capturing images of an event in a dynamic environment includes two microphones configured to capture stereo audio of the event. The microphones are on orthogonal surfaces of the camera system. Because the microphones are on orthogonal surfaces of the camera system, the camera body can impact the spatial response of the two recorded audio channels differently, leading to degraded stereo recreation if standard beam forming techniques are used. The camera system includes tuned beam forming techniques to generate multi-channel audio that more accurately recreates the stereo audio by compensating for the shape of the camera system and the orientation of microphones on the camera system. The tuned beam forming techniques include optimizing a set of beam forming parameters, as a function of frequency, based on the true spatial response of the recorded audio signals.

Beam forming for microphones on separate faces of a camera

An audio capture system for a sports camera includes at least one 'enhanced' microphone and at least one 'reference' microphone. The enhanced microphone includes a drainage enhancement feature to enable water to drain from the microphone more quickly than the reference microphone. A microphone selection controller selects between the microphones based on a microphone selection algorithm to enable high quality in conditions where the sports camera transitions in and out of water during activities such as surfing, water skiing, swimming, or other wet environments.

A spherical content capture system captures spherical video and audio content. In one embodiment, captured metadata or video/audio processing is used to identify content relevant to a particular user based on time and location information. The platform can then generate an output video from one or more shared spherical content files relevant to the user. The output video may include a non-spherical reduced field of view such as those commonly associated with conventional camera systems. Particularly, relevant sub-frames having a reduced field of view may be extracted from each frame of spherical video to generate an output video that tracks a particular individual or object of interest. For each sub-frame, a corresponding portion of an audio track is generated that includes a directional audio signal having a directionality based on the selected sub-frame.

Automatic generation of video and directional audio from spherical content

Techniques for acoustic voice activity detection (AVAD) is described, including detecting a signal associated with a subband from a microphone, performing an operation on data associated with the signal, the operation generating a value associated with the subband, and determining whether the value distinguishes the signal from noise by using the value to determine a signal-to-noise ratio and comparing the value to a threshold.

Acoustic voice activity detection

Various embodiments relate to signal processing and, more particularly, to processing of received speech signals to preserve and enhance speech intelligibility. In one embodiment, a communications apparatus includes a receiving path over which received speech signals traverse in an audio stream, and an dynamic audio enhancement device disposed in the receiving path. The dynamic audio enhancement ('DAE') device is configured to modify an amount of volume and an amount of equalization of the audio stream. The DAE device can include a noise level estimator ('NLE') configured to generate a signal representing a noise level estimate. The noise level estimator can include a non-stationary noise detector and a stationary noise detector. The noise level estimator can be configured to generate the signal representing a first noise level estimate based on detection of the non-stationary noise or a second noise level estimate based on detection of the stationary noise.

Dynamic enhancement of audio (DAE) in headset systems

A wireless conference call telephone system uses body-worn wired or wireless audio endpoints comprising microphones and, optionally, speakers. These audio-endpoints, which include headsets, pendants, and clip-on microphones to name a few, are used to capture the user's voice and the resulting data may be used to remove echo and environmental acoustic noise. Each audio-endpoint transmits its audio to the telephony gateway, where noise and echo suppression can take place if not already performed on the audio-endpoint, and where each audio-endpoint's output can be labeled, integrated with the output of other audio-endpoints, and transmitted over one or more telephony channels of a telephone network. The noise and echo suppression can also be done on the audio-endpoint. The labeling of each user's output can be used by the outside caller's phone to spatially locate each user in space, increasing intelligibility.

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Belmont, CA, United States of America

Zhinian Jing