Cepstral behaviour due to additive noise and a compensation scheme for noisy speech recognition

IEE Proceedings: Vision, Image and Signal Processing

Volumn 145, Issue 5, 1998, Pages 316-321

  Hwang, T H ^a   Lee, L M ^b   Wang, H C ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b MING CHI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Cepstral coefficients; Noisy speech recognition

Indexed keywords

APPROXIMATION THEORY; MATHEMATICAL MODELS; OPTIMIZATION; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE; VECTORS;

SPEECH MODELS;

SPEECH RECOGNITION;

EID: 0032183293     PISSN: 1350245X     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-vis:19982319     Document Type: Article

References (13)

1. JUANG, B.H.: 'Speech recognition in adverse environments', Computer Speech Lang., 1991, 15, pp. 275-294
2. MANSOUR, D., and JUANG, B.H.: 'A family of distortion measures based upon projection operation for robust speech recognition', IEEE Trans. Acoust. Speech Sig. Process., 1989, 37, pp. 1659-1671
3. CARLSON, B.A., and CLEMENTS, M.A.: 'A projection-based likelihood measure for speech recognition in noise', IEEE Trans. Speech Audio Process., 1994, 2, pp. 97-102
4. MANSOUR, D., and JUANG, B.H.: The short-time modified coherence representation and noisy speech recognition', IEEE Trans. Acoust. Speech Sig. Process., 1989, 37, pp. 795-804
5. GUAN, C., CHEN, Y., and WU, B.: 'Direct modification on LPC coefficients with application to speech enhancement and improving the performance of speech recognition in noise'. Proceedings of IEEE international conference on Acoust., speech, signal processing, 1993, Vol. II, pp. 107-110
6. RAJ, B., COUVEA, E.B., MORENO, P.J. and STERN, R.M.: 'Cepstral compensation by polynomial approximation for environment-independent speech recognition'. Proceedings of international conference on Spoken language processing, 1996, pp. 2340-2343
7. MORENO, P.J., RAJ, B., and STERN, R.M.: 'A vector Taylor series approach for environment-independent speech recognition'. Proceedings of IEEE international conference on Acoust., speech, signal processing, 1996, pp. 733-736
8. GALES, M.J.F., and YOUNG, S.J.: 'Cepstral parameter compensation for HMM recognition in noise', Speech Commun., 1993, 12, pp. 231-239
9. VARGA, A., and STEENEKEN, H.J.M.: 'Assessment for automatic speech recognition: II. NOISEX-92: a database and an experiment to study the effect of additive noise on speech recognition systems', Speech Commun., 1993, 12, pp. 247-251
10. LEE, L.M., CHEN, J.K., and WANG, H.C.: 'Nonlinear cepstral equalisation method for noisy speech recognition', IEE Proc.-Vis. Image Signal Process., 1994, 141, (6), pp. 397-402
11. LEE, L.M., and WANG, H.C.: 'An extended Levinson-Durbin algorithm for the analysis of noisy autoregressive process', IEEE Sig. Process. Lett., 1996, 3, (1), pp. 13-15
12. HWANG, T.H., LEE, L.M., and WANG, H.C.: 'Feature adaptation using deviation vector for robust speech recognition in noisy environment'. Proceedings of IEEE international conference on Acoust., speech, signal processing, 1997, pp. 1227-1230
13. DAVIS, S.B., and MERMELSTEIN, P.: 'Comparison of parametric representations for monosyllabic word recognition in continusly spoken sentences', IEEE Trans. Acoust. Speech Sig. Process., 1980, 28, (4), pp. 357-366