Invention Grant
- Patent Title: Online target-speech extraction method based on auxiliary function for robust automatic speech recognition
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Application No.: US17215501Application Date: 2021-03-29
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Publication No.: US11694707B2Publication Date: 2023-07-04
- Inventor: Hyung Min Park , Uihyeop Shin
- Applicant: INDUSTRY-UNIVERSITY COOPERATION FOUNDATION SOGANG UNIVERSITY
- Applicant Address: KR Seoul
- Assignee: INDUSTRY-UNIVERSITY COOPERATION FOUNDATION SOGANG UNIVERSITY
- Current Assignee: INDUSTRY-UNIVERSITY COOPERATION FOUNDATION SOGANG UNIVERSITY
- Current Assignee Address: KR Seoul
- Agency: Cantor Colburn LLP
- Priority: KR 20150037314 2015.03.18
- Main IPC: G10L21/0272
- IPC: G10L21/0272 ; G10L21/0308 ; G10L15/20 ; G10L21/0216 ; G06F18/2134 ; G10L21/0208

Abstract:
A target speech signal extraction method for robust speech recognition includes: initializing a steering vector for a target speech source and an adaptive vector, setting a real output channel of the target speech source as an output by the adaptive vector, initializing adaptive vectors for a noise and setting a dummy channel as an output by the adaptive vectors for the noise; setting a cost function for minimizing dependency between a real output for the target speech source and a dummy output for the noise; setting an auxiliary function to the cost function, and updating the adaptive vector for the target speech source and the adaptive vectors for the noise by using the auxiliary function and the steering vector; estimating the target speech signal by using the adaptive vector thereby extracting the target speech signal from the input signals; and updating the steering vector for the target speech source.
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