지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
In this paper, a robust feature compensation method to deal with the environmental mismatch is proposed. The proposed method applies energy based weights according to the degree of speech presence to the Mean subtraction, Variance normalization, and ARMA filtering (MVA) processing. The weights are further smoothed by the moving average and maximum filters. The proposed feature compensation algorithm is evaluated on AURORA 2 task and distant talking experiment using the robot platform, and we obtain error rate reduction of 14.4 % and 44.9 % by using the proposed algorithm comparing with MVA processing on AURORA 2 task and distant talking experiment, respectively.
목차
등록된 정보가 없습니다.
참고문헌 (7)
참고문헌 신청
H. Hermansky / 1994 / RASTA processing of speech / IEEE Trans. Speech and Audio Process 2(4):578~589
X. Lu / 2010 / Temporal contrast normalization and edge-preserved smoothing of temporal modulation structures of speech for robust speech recognition / Speech Comm. 52(1):1~11
C. P. Chen / 2007 / MVA processing of speech features / IEEE Trans. Audio Speech Language Process 15(1):257~270
반성민 / 2010 / 가중 ARMA 필터를 이용한 강인한 음성인식 / 말소리와 음성과학 2(4):145~151
H. G. Hirsch / 2000 / The Aurora experimental framework for the performance evaluations of speech recognition systems under noisy conditions / ISCA ITRW ASR2000
X. Lu / 2010 / Temporal contrast normalization and edge-preserved smoothing of temporal modulation structures of speech for robust speech recognition / Speech Comm. 52(1):1~11
C. P. Chen / 2007 / MVA processing of speech features / IEEE Trans. Audio Speech Language Process 15(1):257~270
반성민 / 2010 / 가중 ARMA 필터를 이용한 강인한 음성인식 / 말소리와 음성과학 2(4):145~151
H. G. Hirsch / 2000 / The Aurora experimental framework for the performance evaluations of speech recognition systems under noisy conditions / ISCA ITRW ASR2000
이 논문의 저자 정보
최근 본 자료
댓글(0)
0