TENCENT AMERICA LLC (20240404542). DEEP AHS: A DEEP LEARNING APPROACH TO ACOUSTIC HOWLING SUPPRESSION
DEEP AHS: A DEEP LEARNING APPROACH TO ACOUSTIC HOWLING SUPPRESSION
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DEEP AHS: A DEEP LEARNING APPROACH TO ACOUSTIC HOWLING SUPPRESSION
This abstract first appeared for US patent application 20240404542 titled 'DEEP AHS: A DEEP LEARNING APPROACH TO ACOUSTIC HOWLING SUPPRESSION
Original Abstract Submitted
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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