상세정보
학술지
Adaptive Channel Normalization Based on Infomax Algorithm for Robust Speech Recognition
- 저자
- 정호영
- 발행일
- 200706
- 출처
- ETRI Journal, v.29 no.3, pp.300-304
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 06MW1800, 신성장동력산업용 대용량 대화형 분산 처리 음성인터페이스 기술개발, 이영직
- 초록
- This paper proposes a new data-driven method for high-pass approaches, which suppresses slow-varying noise components. Conventional high-pass approaches are based on the idea of decorrelating the feature vector sequence, and are trying for adaptability to various conditions. The proposed method is based on temporal local decorrelation using the information-maximization theory for each utterance. This is performed on an utterance-by-utterance basis, which provides an adaptive channel normalization filter for each condition. The performance of the proposed method is evaluated by isolated-word recognition experiments with channel distortion. Experimental results show that the proposed method yields outstanding improvement for channel-distorted speech recognition.
- KSP 제안 키워드
- Feature Vector, Infomax algorithm, Isolated Word Recognition, Noise components, Slow-varying, Various conditions, channel normalization, data-driven method, high-pass, robust speech recognition