Assessing local noise level estimation methods: Application to noise robust ASR

Speech Communication

Volumn 34, Issue 1-2, 2001, Pages 141-158

  Ris, Christophe ^a   Dupont, Stéphane ^a  

^a UNIVERSITY OF MONS   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC VARIABLES CONTROL; PARAMETER ESTIMATION; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE;

HARMONIC FILTERING; LOCAL NOISE LEVEL ESTIMATION METHODS;

CONTINUOUS SPEECH RECOGNITION;

EID: 0034832359     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(00)00051-0     Document Type: Article

References (25)

1. Berouti, M., Schwartz, R., Makhoul, J., 1979. Enhancement of speech corrupted by acoustic noise. In: Proc. ICASSP'79, April, pp. 208-211.
2. Boll, S.F., 1979. Suppression of acoustic noise in speech using spectral subtraction. IEEE ASSP 2 (27).
3. Bourlard, H., Morgan, N., 1994. Connectionist Speech Recognition - A Hybrid Approach. Kluwer Academic Publishers, Dordrecht, ISBN 0-7923-9396-1.
4. Bourlard, H., Dupont, S., Hermansky, H., Morgan, N., 1996. Towards sub-band-based speech recognition. In: Proceedings of European Signal Processing Conference, Trieste, Italy, September, pp. 1579-1582.
5. Cooke, M., Morris, A., Green, P., 1997. Missing data techniques for robust speech recognition. In: Proc. ICASSP'97, Munich, April.
6. Cooke, M., Green, P., Josifovski, L., Vizinho, A., 1999. Robust automatic speech recognition with missing and unreliable acoustic data. In: Research Memorandum CS-99-05, Department of Computer Science, University of Sheffield.
7. Dupont, S., 1998. Missing data reconstruction for robust automatic speech recognition in the framework of hybrid HMM/ANN systems. In: Proceedings of the International Conference on Spoken Language Processing, Sydney, Australia, December.
8. El-Maliki, M., Renevey, P., Drygajlo, A., 1998. Rehaussement par soustraction spectrale et compensation des param tres manquants pour la reconnaissance robuste du locuteur et de la parole. In: Proceedings XXII mes Journ es d'Etude sur la Parole, Martigny, Switzerland, pp. 409-412.
9. Gales, M.J.F., 1997. Nice model-based compensation schemes for robust speech recognition. In: Proceedings of ESCA/ NATO Workshop on Robust Speech Recognition for Unknown Communication Channels, Pont-Mousson, France, April, pp. 55-64.
10. Hermansky, H., 1990. Perceptual linear predictive (PLP) analysis of speech. J. Acoustical Soc. Amer. 87 (4) 1738-1752, April.
11. Hermansky, H., Morgan, N., 1994. Rasta processing of speech. IEEE Trans. Speech Audio Processing 2 (4), 578-589.
12. Hirsch, H.G., Ehrlicher, C., 1995. Noise estimation techniques for robust speech recognition. In: Proc. ICASSP'95, pp. 153-156.
13. Korthauer, A., 1999. Robust estimation of the snr of noisy speech signals for the quality evaluation of speech databases. In: Proc. ROBUST'99 Workshop, Tampere, pp. 123-126.
14. Leonard, R.G., 1984. A database for speaker-independent digit recognition. In: Proc. ICASSP'84, pp. 111-114.
15. Martin, R., 1993. An efficient algorithm to estimate the instantaneous SNR of speech signals. In: Eurospeech'93, pp. 1093-1096.
16. McKinley, B.L., Whipple, G.H., 1997. Model based speech pause detection. In: Proc. ICASSP'97, Munich, pp. 1179-1182.
17. Mirghafori, N., Morgan, N., 1998. Combining connectionist multi-band and full-band probability streams for speech recognition of natural numbers. In: Proceedings of the International Conference on Spoken Language Processing, Sydney, Australia, December.
18. Price, P., Fisher, W.M., Bernstein, J., Pallet, D.S., 1988. The DARPA 1000-words resource management database for continuous speech recognition. In: Proc. ICASSP'88, April, pp. 651-654.
19. Sarikaya, R., Hansen, J.H.L., 1998. Robust speech activity detection in the presence of noise. In: Proceedings of the International Conference on Spoken Language Processing, Sydney, Australia, December.
20. Singh, L., Sridharan, S., 1998. Speech enhancement using critical band spectral subtraction. In: Proceedings of International Conference on Spoken Language Processing, Sydney, Australia, December.
21. Tibrewala, S., Hermansky, H., 1997. Sub-band-based recognition of noisy speech. In: Proc. ICASSP'97, Munich, pp. 1255-1258.
22. ULg, 1998. ULg - acoustics laboratory - the MADRAS project. http://www.montefiore.ulg.ac.be/services/acous/Cedia/ madrasfr.html, August.
23. Van Compernolle, D., 1989. Noise adaptation in a hidden markov model speech recognition system. Comput. Speech Language 3 (2), 151-168.
24. Varga, A.P., Steeneken, H.J.M., Tomlinson, M., Jones, D., 1992. The NOISEX-92 study on the effect of additive noise on automatic speech recognition. Technical Report, Speech Research Unit, Defense Research Agency, Malvern, UK.
25. Vizinho, A., Green, P., Cooke, M., Josifovski, L., 1999. Missing data theory, spectral subtraction and SNR estimation for robust ASR: An integrated study. In: Proc. EUROSPEECH'99, Budapest, pp. 2407-2410.