DEEP AHS: A DEEP LEARNING APPROACH TO ACOUSTIC HOWLING SUPPRESSION

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United States of America

APP PUB NO 20240404542A1
SERIAL NO

18327418

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Abstract

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A method and apparatus comprising computer code configured to cause a processor or processors to receive an audio signal obtained from a microphone, input the audio signal into a neural-network based AHS model, wherein the neural-network based AHS model is trained using a training audio signal, and output an AHS signal from the neural-network based AHS model in which AHS is applied to the audio signal, wherein the AHS signal is a version of the audio signal in which acoustic howling noise of the audio signal is suppressed and target audio of the audio signal is sustained.

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Patent Owner(s)

Patent OwnerAddress
TENCENT AMERICA LLC2747 PARK BLVD PALO ALTO CA 94306

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
YU, Dong Palo Alto, US 354 6818
YU, Meng Palo Alto, US 53 270
ZHANG, Hao Columbus, US 1170 5565

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