Invention Grant
- Patent Title: Deep learning segmentation of audio using magnitude spectrogram
-
Application No.: US17062253Application Date: 2020-10-02
-
Publication No.: US11355134B2Publication Date: 2022-06-07
- Inventor: Luke Miner
- Applicant: Audioshake, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Audioshake, Inc.
- Current Assignee: Audioshake, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Kwan & Olynick LLP
- Main IPC: G10L19/02
- IPC: G10L19/02 ; G10L25/30 ; G10L21/0272 ; G06N3/08
Abstract:
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.
Public/Granted literature
- US20210035590A1 DEEP LEARNING SEGMENTATION OF AUDIO USING MAGNITUDE SPECTROGRAM Public/Granted day:2021-02-04
Information query
