Method and system of automatic microphone selection for multi-microphone environments
AssigneeIntel Corporation
InventorsJaison Fernandez, Adam Kupryjanow, Srikanth Potluri, Tarakesava Reddy Koki, Aiswarya M. Pious
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Abstract
A computer-implemented method of audio processing comprises receiving, by at least one processor, multiple audio signals from multiple microphones. The audio signals are associated with audio emitted from a same source. The method also may include determining an audio quality indicator of individual ones of the audio signals using a neural network, and selecting at least one of the audio signals depending on the audio quality indicators.
Claims20
A computer-implemented method of audio processing, comprising:
- receiving, by at least one processor, multiple audio signals from multiple microphones, wherein the audio signals are associated with audio emitted from a same source;
- determining an audio quality indicator of individual ones of the audio signals using a neural network;
- and
- selecting at least one of the audio signals depending on the audio quality indicators.
At least one non-transitory computer readable medium comprising a plurality of instructions that in response to being executed on a computing device, causes the computing device to operate by:
- receiving, by at least one processor, multiple audio signals from multiple microphones, wherein the audio signals are associated with audio emitted from a same at least one source;
- determining an audio quality indicator of individual ones of the audio signals using a neural network;
- and
- selecting at least one of the audio signals depending on the audio quality indicators.
A computer-implemented system, comprising:
- multiple microphones to provide audio signals associated with audio emitted from a same one or more sources;
- memory to hold data of the audio signals;
- processor circuitry communicatively connected to the memory, the processor circuitry being arranged to operate by:
- determining an audio quality indicator of individual ones of the audio signals using a neural network;
- and
- selecting at least one of the audio signals depending on the audio quality indicators.
Dependencies are inferred from the claim text.