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Noisy speech recognition using cepstral-time features and spectral-time filters

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3 Author(s)
Vaseghi, S.V. ; Sch. of Inf. Syst., East Anglia Univ., Norwich, UK ; Milner, B.P. ; Humphries, J.J.

This paper explores the advantages of using cepstral-time feature matrices, and spectral-time filters, for noisy speech recognition within a hidden Markov model framework. The use of cepstral-time features with spectral subtraction and state-based time-varying Wiener filters is investigated. Experimental results indicate that cepstral-time features, and spectral-time noise processing, provide an effective framework for robust speech recognition in noisy environments

Published in:

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on  (Volume:ii )

Date of Conference:

19-22 Apr 1994