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