상세정보
학술지
Efficient Spectrum Estimation of Noise using Line Spectral Pairs for Robust Speech Recognition
- 저자
- 장길진, 조훈영
- 발행일
- 201112
- 출처
- Electronics Letters, v.47 no.25, pp.1399-1401
- ISSN
- 0013-5194
- 출판사
- IET
- 협약과제
- 11MS2100, 휴대형 한/영 자동통역 기술개발, 김상훈
- 초록
- A novel method for estimating the power spectral density of acoustic background noise is proposed. The spectral peak frequencies are approximated by the roots of the P polynomial, which constitute half of the line spectral pairs. The probability distributions of the magnitude values at the spectral peaks are modelled by a mixture of two univariate Gaussian functions, where the Gaussian with smaller mean is considered as noise and the other as speech. The validity of the proposed method is exhibited by the experimental results evaluated on a simple speech recognition task. © 2011 The Institution of Engineering and Technology.
- KSP 제안 키워드
- Background noise, Estimation of noise, Gaussian functions, Line spectral pairs, Probability distribution, Spectral peaks, novel method, power spectral density(PSD), robust speech recognition, spectrum estimation