Invention Grant
- Patent Title: Online target-speech extraction method for robust automatic speech recognition
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Application No.: US16181798Application Date: 2018-11-06
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Publication No.: US10657958B2Publication Date: 2020-05-19
- Inventor: Hyung-Min Park , Minook Kim
- Applicant: SOGANG UNIVERSITY RESEARCH FOUNDATION
- Applicant Address: KR Seoul
- Assignee: SOGANG UNIVERSITY RESEARCH FOUNDATION
- Current Assignee: SOGANG UNIVERSITY RESEARCH FOUNDATION
- Current Assignee Address: KR Seoul
- Agency: Cantor Colburn LLP
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@75b074f3
- Main IPC: G10L15/20
- IPC: G10L15/20 ; G10L25/84 ; G10L15/22 ; G10L21/0216 ; H04R3/00 ; H04R1/40 ; G10L15/00

Abstract:
Provided is a target speech signal extraction method for robust speech recognition including: (a) receiving information on a direction of arrival of the target speech source with respect to the microphones; (b) generating a nullformer by using the information on the direction of arrival of the target speech source to remove the target speech signal from the input signals and to estimate noise; (c) setting a real output of the target speech source using an adaptive vector w(k) as a first channel and setting a dummy output by the nullformer as a remaining channel; (d) setting a cost function for minimizing dependency between the real output of the target speech source and the dummy output using the nullformer by performing independent component analysis (ICA); and (e) estimating the target speech signal by using the cost function, thereby extracting the target speech signal from the input signals.
Public/Granted literature
- US20190074000A1 ONLINE TARGET-SPEECH EXTRACTION METHOD FOR ROBUST AUTOMATIC SPEECH RECOGNITION Public/Granted day:2019-03-07
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