서지주요정보
가중 훈련을 이용한 화자적응 알고리즘의 성능 향상 = Improvements in speaker adaptation with weighted training
서명 / 저자 가중 훈련을 이용한 화자적응 알고리즘의 성능 향상 = Improvements in speaker adaptation with weighted training / 장규철.
저자명 장규철 ; Jang, Gyu-Cheol
발행사항 [대전 : 한국과학기술원, 2003].
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등록번호

8014612

소장위치/청구기호

학술문화관(문화관) 보존서고

MEE 03114

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초록정보

Regardless of the distribution of the adaptation data in the testing environment, model-based adaptation methods that have so far been reported in various literatures incorporate the adaptation data undiscriminatingly in reducing the mismatch between the training and testing environments. When the amount of data is small and the parameter tying is extensive, adaptation based on outlier data can be detrimental to the performance of the recognizer. The distribution of the adaptation data plays a critical role on the adaptation performance. In order to maximally improve the recognition rate in the testing environment using only a small number of adaptation data, supervised weighted training is applied to the structural maximum posterior (SMAP) algorithm proposed by Shinoda. We evaluate the performance of the proposed weighted SMAP (WSMAP) and SMAP on TIDIGITS corpus. The proposed WSMAP has been found to perform better for a small amount of data. The general idea of incorporating the distribution of the adaptation data is applicable to other adaptation algorithms.

서지기타정보

서지기타정보
청구기호 {MEE 03114
형태사항 vi, 41 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Gyu-Cheol Jang
지도교수의 한글표기 : 유창동
지도교수의 영문표기 : Chang-D. Yoo
학위논문 학위논문(석사) - 한국과학기술원 : 전기및전자공학전공,
서지주기 참고문헌 : p. 40-41
주제 화자적응
가중훈련
음성인식
speaker adaptation
weighted training
speech recognition
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