Channel normalization techniques for automatic speech recognition over the telephone

Speech Communication

Volumn 25, Issue 1-3, 1998, Pages 149-164

  De Veth, Johan ^a   Boves, Louis ^a  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

Automatic speech recognition; Channel normalisation; Phase corrected RASTA; Telephone speech

Indexed keywords

FREQUENCY MODULATION; FREQUENCY RESPONSE; MARKOV PROCESSES; MATHEMATICAL MODELS; SPECTRUM ANALYSIS; TELEPHONE LINES;

CEPSTRUM;

SPEECH RECOGNITION;

EID: 0032137627     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(98)00034-X     Document Type: Article

References (29)

1. Aikawa, K., Singer, H., Kawahara, H., Tohkura, Y., 1993. A dynamic cepstrum incorporating time-frequency masking and its application to continuous speech recognition. In: Proc. Internat. Conf. Acoust. Signal Speech Process., pp. 668-671.
2. Atal, B., 1974. Automatic recognition of speakers from their voices. Proc. IEEE 64, 460-475.
3. Boda, P., de Veth, J., Boves, L., 1996. Channel normalisation by using RASTA filtering and the dynamic cepstrum for automatic speech recognition over the phone. In: Proc. ESCA Workshop on the Auditory Basis of Speech Perception, Keele, UK, pp. 317-320.
4. den Os, E., Boogaart, T., Boves, L., Klabbers, E., 1995. The Dutch Polyphone corpus. In: Proc. Eurospeech, pp. 825-828.
5. de Veth, J., Bourlard, H., 1995. Comparison of Hidden Markov Model techniques for automatic speaker verification in real-world conditions. Speech Communication 17, 81-90.
6. de Veth, J., Boves, L., 1996. Comparison of channel normalisation techniques for automatic speech recognition over the phone. In: Proc. Internat. Conf. Spoken Language Process., pp. 2332-2335.
7. de Veth, J., Boves, L., 1997a. Channel normalisation using phase-corrected RASTA. In: Proc. ESCA-NATO Workshop on Robust Speech Recognition for Unknown Communication Channels, Pont-a-Mousson, France, pp. 119-122.
8. de Veth, J., Boves, L., 1997b. Phase-corrected RASTA for automatic speech recognition over the phone. In: Proc. Internat. Conf. Acoust. Signal Speech Process., pp. 1239-1242.
9. Drullman, R., Festen, J., Plomp, R., 1994. Effect of temporal envelope smearing on speech reception. J. Acoust. Soc. Amer. 95, 1053-1064.
10. Furui, S., 1981. Cepstral analysis technique for automatic speaker verification. IEEE Trans. Acoust. Speech Signal Process. 29, 254-272.
11. Gish, H., Karnovsky, K., Krasner, M., Roucos, S., Schwartz, R., Wolf, J., 1985. Investigation of text-independent speaker identification over telephone channels. In: Proc. Internat. Conf. Acoust. Signal Speech Process., pp. 379-382.
12. Gish, H., Krasner, M., Russell, W., Wolf, J., 1986. Methods and experiments for text-independent speaker recognition over telephone channels. In: Proc. Internat. Conf. Acoust. Signal Speech Process., pp. 865-868.
13. Haeb-Umbach, R., Beyerlein, P., Geller, D., 1995. Speech recognition algorithms for voice control interfaces. Philips J. Res. 49, 381-397.
14. Hermansky, H., 1996. Auditory modeling in automatic recognition of speech. In: Proc. ESCA Workshop on the Auditory Basis of Speech Perception, Keele, UK, pages in addendum.
15. Hermansky, H., Morgan, N., 1994. RASTA processing of speech. IEEE Trans. Speech Audio Process. 2, 578-589.
16. Hermansky, H., Pavel, M., 1995. Psychophysics of speech engineering systems. In: Proc. Internat. Conf. Phon. Sc., pp. 3.42-3.49.
17. Hermansky, H., Morgan, N., Bayya, A., Kohn, P., 1991. Compensation for the effect of the communication channel in auditory-like analysis of speech. In: Proc. Eurospeech, pp. 1367-1370.
18. Hirsch, H., Meyer, P., Ruehl, H., 1991. Improved speech recognition using high-pass filtering of subband envelopes. In: Proc. Eurospeech, pp. 413-416.
19. Hunt, M., 1978. Automatic correction of low-frequency phase distortion in analogue magnetic recordings. Acoust. Lett. 32, 6-10.
20. Junqua, J.-C., Fohr, D., Mari, J.-F., Applebaum, T., Hanson, B., 1995. Time derivatives, cepstral normalisation and spectral parameter filtering for continuously spelled names over the telephone. In: Proc. Eurospeech, pp. 1385-1388.
21. Little, J., Shure, L., 1993. Matlab Signal Processing Toolbox Users Guide. The MathWorks, Natick.
22. Milner, B., Vaseghi, S., 1995. An analysis of cepstral-time matrices for noise and channel robust speech recognition. In: Proc. Eurospeech, pp. 519-522.
23. Nadeu, C., Paches-Leal, P., Juang, B.-H., 1995. Filtering the time sequence of spectral parameters for speaker-independent CDHMM word recognition. In: Proc. Eurospeech, pp. 923-926.
24. Schetzen, M., 1980. The Volterra and Wiener Theories of Nonlinear Systems. Wiley, New York.
25. Singer, H., Paliwal, K., Beppu, T., Sagisaka, Y., 1995. Effect of RASTA-type processing for speech recognition with speaking-rate mismatches. In: Proc. Eurospeech, pp. 487-490.
26. Soong, F., Rosenberg, A., 1986. On the use of instantaneous and transitional spectral information in speaker recognition. In: Proc. Internat. Conf. Acoust. Signal Speech Process., pp. 877-880.
27. Steinbiss, V., Ney, H., Aubert, X., Besling, S., Dugast, C., Essen, U., Geller, D., Haeb-Umbach, R., Kneser, R., Meier, H.-G., Oerder, M., Tran, B.-H., 1995. The Philips research system for continuous-speech recognition. Philips J. Res. 49, 317-352.
28. Wang, H.-C., Chen, M.-S., Yang, T., 1993. A novel approach to the speaker identification over the telephone networks. In: Proc. Internat. Conf. Acoust. Signal Speech Process., pp. 407-410.
29. Young, S., Woodland, P., 1992. HTK vl.4 User Manual. Speech Group, Cambridge University Engineering Department.