Invention Grant
- Patent Title: Condition-invariant feature extraction network
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Application No.: US16434665Application Date: 2019-06-07
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Publication No.: US11217265B2Publication Date: 2022-01-04
- Inventor: Zhong Meng , Yong Zhao , Jinyu Li , Yifan Gong
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G10L25/03
- IPC: G10L25/03 ; G10L25/30 ; H04R29/00 ; G06N20/00 ; G06F17/18 ; G06N3/08 ; H04R5/04

Abstract:
To generate substantially condition-invariant and speaker-discriminative features, embodiments are associated with a feature extractor capable of extracting features from speech frames based on first parameters, a speaker classifier capable of identifying a speaker based on the features and on second parameters, and a condition classifier capable of identifying a noise condition based on the features and on third parameters. The first parameters of the feature extractor and the second parameters of the speaker classifier are trained to minimize a speaker classification loss, the first parameters of the feature extractor are further trained to maximize a condition classification loss, and the third parameters of the condition classifier are trained to minimize the condition classification loss.
Public/Granted literature
- US20200335122A1 CONDITION-INVARIANT FEATURE EXTRACTION NETWORK Public/Granted day:2020-10-22
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