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Audioshake, Inc. (20240412747). DEEP LEARNING SEGMENTATION OF AUDIO USING MAGNITUDE SPECTROGRAM

From WikiPatents

DEEP LEARNING SEGMENTATION OF AUDIO USING MAGNITUDE SPECTROGRAM

Organization Name

Audioshake, Inc.

Inventor(s)

Luke Miner of San Francisco CA (US)

DEEP LEARNING SEGMENTATION OF AUDIO USING MAGNITUDE SPECTROGRAM

This abstract first appeared for US patent application 20240412747 titled 'DEEP LEARNING SEGMENTATION OF AUDIO USING MAGNITUDE SPECTROGRAM



Original Abstract Submitted

a method, system, and computer readable medium for decomposing an audio signal into different isolated sources. the techniques and mechanisms convert an audio signal into k input spectrogram fragments. the fragments are sent into a deep neural network to isolate for different sources. the isolated fragments are then combined to form full isolated source audio signals.

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