Signal bias removal by maximum likelihood estimation for robust telephone speech recognition

IEEE Transactions on Speech and Audio Processing

Volumn 4, Issue 1, 1996, Pages 19-30

  Rahim, Mazin G ^a   Juang, Biing Hwang ^a  

^a LUCENT TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); ERROR ANALYSIS; INTERFERENCE SUPPRESSION; MARKOV PROCESSES; MATHEMATICAL MODELS; STATISTICAL METHODS; TELEPHONE SYSTEMS;

HIDDEN MARKOV MODEL; MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL BIAS REMOVAL;

SPEECH RECOGNITION;

EID: 0029769867     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/tsa.1996.481449     Document Type: Article

References (38)

1. A. Acero, Acoustical Environmental Robustness in Automatic Speech Recognition. Reading, MA: Kluwer, 1992.
2. E. Bocchieri, "Vector quantization for the efficient computation of continuous density likelihoods," in Proc, Int. Conf. Acoust., Speech, Signal Processing, vol. 2, 1993, pp. 692-695.
3. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust., Speech, Signal Processing, vol. 29, pp. 113-120, 1979.
4. E. Buhrke, R. Cardin, Y. Normandin, M. Rahim, and J. Wilpon, "Application of vector quantized hidden markov models to the recognition of connected digit strings in the telephone network," in Proc. IEEEASR Workshop, 1993, pp. 38-39.
5. R. Cardin, Y. Normandin, and E. Millien, "Inter-word coarticulation modeling and MMIE training for improved connected digit recognition," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 2, 1993, pp. 243-246.
6. C. CheWei, M. Rahim, and J. Flanagan, "Robust speech recognition in a multimedia teleconferencing environment," J. Acoust. Soc. Am., vol. 92, no. 4, 1992.
7. S. J. Cox and J. S. Bridle, "Unsupervised speaker adaptation by probabilistic spectrum filtering," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 1, 1989, pp. 294-297.
8. Y. Ephraim, D. Malah, and B-H. Juang, "On the application of hidden markov models for enhancing noisy speech," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 1846-1856, 1989.
9. C. Guan, Y. Chen, and B. Wu, "Direct modification on LPC coefficients with application to speech enhancement and improving the performance of speech recognition in noise," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 2, 1993, pp. 107-110.
10. J. L. Flanagan, J. D. Johnston, R. Zahn, and G. W. Elko, "Computer-steered microphone arrays for sound transduction in large rooms," J. Acoust. Soc. Am., vol. 78, pp. 1508-1518, 1985.
11. S. Furui, "Speaker independent isolated word recognition using dynamic features of speech spectrum," IEEE Trans. Acoust., Speech, Signal Processing, vol. 34, pp. 52-59, 1986.
12. S. Furui, "Unsupervised speaker adaptation based on hierarchical spectral clustering," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 1923-1930, 1989.
13. M. J. F. Gales and S. Young, "An improved approach to the hidden markov model decomposition of speech and noise," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 1, 1992, pp. 223-226.
14. B. A. Hanson and H. Wakita, "Spectral slope distance measures with linear prediction analysis for word recognition in noise," IEEE Trans. Acoust., Speech, Signal Processing, vol. 35, 1987, pp. 968-973.
15. H. Hermansky, "Perceptual linear predictive (PLP) analysis of speech," J. Acoust. Soc. Am., vol. 87, no. 4, pp. 1738-1752, 1990.
16. H. Hermansky, N. Morgan, A. Bayya, and P. Kohn, "RASTA-PLP speech analysis technique," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 1, 1992, pp. 121-124.
17. B-H. Juang, "Speech récognition in adverse environments," Comput. Speech Language, vol. 5, pp. 275-294, 1991.
18. B. H. Juang, L. R. Rabiner, and J. G. Wilpon, "On the use of bandpass lifering in speech recognition," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no. 7, pp. 947-954, 1987.
19. D. H. Klatt, "A digital filter bank for spectral matching," in Proc. Int. Conf. Acoust., Speech, Signal Processing, 1976, pp. 573-576.
20. I. Lecomte et al. "Car noise processing for speech input," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 1, 1989, pp. 512-515.
21. C.-H. Lee, C.-H. Lin, and B.-H. Juang, "A study on speaker adaptation of the parameters of continuous density hidden markov models," IEEE Trans. Acoust., Speech, Signal Processing, vol. 39, no. 4, pp. 806-814, 1991.
22. K-F. Lee, Automatic Speech Recognition-The Development of the Sphinx System. Reading, MA: Kluwer, 1989.
23. D. Mansour and B-H. Juang, "The short time modified coherence representation and noise speech recognition," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 795-804, 1989.
24. Y. Linde, A. Buzo, and R.M. Gray, "An algorithm for vector quantizer design," IEEE Trans. Commun., vol. COM-28, no. 1, pp. 84-95, 1980.
25. C. Nadeu and B.-H. Juang, "Filtering of speech features for recognition," 1993.
26. Y. Normandin, "Hidden Markov models, maximum mutual information estimation, and the speech recognition problem," Ph.D. thesis, McGill Univ., Montréal, Canada, 1991.
27. L. Rabiner and B.-H. Juang, Fundamentals of Speech Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1993.
28. M. Rahim, "A comparative study of different front-end features for robust speech analysis," in Frontiers in Speech Processing I. New Brunswick, NJ: Rutgers University Press, 1993.
29. M. Rahim and B.-H. Juang, "Signal bias removal for robust telephone speech recognition in adverse environments," in Proc. Int. Conf. Acoust., Speech, Signal Processing, 1994.
30. D. B. Roe, "Speech recognition with a noise-adapting codebook," in Proc. Int. Conf. Acoust., Speech, Signal Processing, 1987, pp. 1139-1142.
31. R. C. Rose and E. M. Hofstetter, 'Techniques for robust word spotting in continuous speech messages," in Proc. Euro. Conf. Speech Commun., 1991, pp. 1183-1186.
32. R. C. Rose, E. M. Hofstetter, and D. A. Reynolds "Integrated models of speech and background with application to speaker identification in noise," IEEE Trans. Speech Audio Processing 1994.
33. S. Sandhu and O. Ghitza, "A comparative study of mel cepstra and eih for phone classification under adverse conditions," in Proc. Int. Conf. Acoust., Speech, Signal Processing 1995.
34. K. Shikano, "Estimation of LPC spectral matching measures for phonetic unit recognition," Carnegie Mellon Univ. Tech. Rep., 1985.
35. B. Stanton et al.., "Acoustic-phonetic analysis of loud and lombard speech in simulated cockpit conditions," in Proc. Int. Conf. Acoust., Speech, Signal Processing, vol. 1, 1988, pp. 331-334.
36. J. Wilpon and R. Sachs, Personal communication, AT&T Bell Laboratories, 1993.
37. Y. Zhao, "A new speaker adaptation technique using very short calibration speech," in Proc. Int. Conf. Acoust., Speech, Signal Processing, 1993, pp. 562-565.
38. Y. Zhao, "Self-learning speaker adaptation based on spectral variation source decomposition," in Proc. EuroSpeech '93, 1993, pp. 359-362.