Device and method for machine-learning based noise suppression

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 12230289
APP PUB NO 20240070524A1
SERIAL NO

17897287

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Abstract

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A device, system, and method for machine-learning based noise suppression is provided. The device (and/or system) comprises a microphone, an output device, a noise suppression engine and a machine-learning noise suppression engine. The machine-learning noise suppression engine receives audio data from the noise suppression engine or the microphone, applies machine learning algorithms to the audio data to generate machine-learning based noise suppression parameters, and provides the parameters to the noise suppression engine. The noise suppression engine receives the audio data from the microphone and, prior to receiving the parameters, applies non-machine-learning based noise suppression to the audio data to generate noise-suppressed audio data, and provides the noise-suppressed audio data to the output device. However, after receiving the parameters, the noise suppression engine applies the parameters to the noise-suppressed audio data to generate updated noise-suppressed audio data, and provides the updated noise-suppressed audio data to the output device.

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Patent Owner(s)

  • MOTOROLA SOLUTIONS, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Corretjer, Jesus F Chicago, US 22 525

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