Invention Publication
- Patent Title: NEURAL-NETWORK-BASED APPROACH FOR SPEECH DENOISING STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH
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Application No.: US18320206Application Date: 2023-05-19
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Publication No.: US20230306981A1Publication Date: 2023-09-28
- Inventor: Changxi ZHENG , Ruilin XU , Rundi WU , Carl VONDRICK , Yuko ISHIWAKA
- Applicant: The Trustees of Columbia University in the City of New York , SoftBank Corp.
- Applicant Address: US NY New York
- Assignee: The Trustees of Columbia University in the City of New York,SoftBank Corp.
- Current Assignee: The Trustees of Columbia University in the City of New York,SoftBank Corp.
- Current Assignee Address: US NY New York
- Main IPC: G10L21/0232
- IPC: G10L21/0232 ; G10L25/30
Abstract:
Disclosed are methods, systems, device, and other implementations, including a method that includes receiving an audio signal representation, detecting in the received audio signal representation, using a first learning model, one or more silent intervals with reduced foreground sound levels, determining based on the detected one or more silent intervals an estimated full noise profile corresponding to the audio signal representation, and generating with a second learning model, based on the received audio signal representation and on the determined estimated full noise profile, a resultant audio signal representation with a reduced noise level.
Public/Granted literature
- US11894012B2 Neural-network-based approach for speech denoising Public/Granted day:2024-02-06
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