Performance improvement of a bitstream-based front-end for wireless speech recognition in adverse environments

IEEE Transactions on Speech and Audio Processing

Volumn 10, Issue 8, 2002, Pages 591-604

  Kim, Hong Kook ^a   Cox, Richard V ^a   Rose, Richard C ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

Bitstream based front end; Feature enhancement; Robust speech recognition; Speech enhancement; Wireless speech recognition

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; MICROPHONES; SIGNAL TO NOISE RATIO; SPEECH CODING; WIRELESS TELECOMMUNICATION SYSTEMS;

CODER-SPECIFIC INFORMATION;

SPEECH RECOGNITION;

EID: 0036880501     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2002.804302     Document Type: Article

References (31)

1. J.-C. Junqua and J.-P. Haton, Robustness in Automatic Speech Recognition. Norwell, MA: Kluwer, 1996.
2. V. K. Varma, "Testing speech coders for usage in wireless communications systems," in Proc. IEEE Workshop on Speech Coding for Telecommunications, QC, Canada, Oct. 1993, pp. 93-94.
3. A. Gallardo-Antolin, F. Diaz-de-Maria, and F. Valverde-Albacete, "Avoiding distortions due to speech coding and transmission errors in GSM ASR tasks," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Phoenix, AZ, Mar. 1999, pp. 277-280.
4. B. T. Lilly and K. K. Paliwal, "Effect of speech coders on speech recognition performance," in Proc. Int. Conf. Spoken Language Processing, Philadelphia, PA, Oct. 1996, pp. 2344-2347.
5. C. Mokbel, L. Mauuary, L. Karray, D. Jouvet, J. Monne, J. Simonin, and K. Bartkova, "Towards improving ASR robustness for PSN and GSM telephone applications," Speech Commun., vol. 23, no. 1-2, pp. 141-159, Oct. 1997.
6. C.-H. Lee, "On stochastic feature and model compensation approaches to robust speech recognition," Speech Commun., vol. 25, no. 1-3, pp. 29-47, Aug. 1998.
7. S. F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," IEEE Trans. Acoust., Speech, Signal Processing, vol. 27, pp. 113-120, Apr. 1979.
8. M. Berouti, R. Schwartz, and J. Marhoul, "Enhancement of speech corrupted by acoustic noise," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Washington, DC, April 1979, pp. 208-211.
9. P. Lockwood and J. Boudy, "Experiments with a nonlinear spectral subtractor (NSS), hidden Markov models and the projection, for robust speech recognition in cars," Speech Commun., vol. 11, no. 2-3, pp. 215-228, June 1992.
10. J. Huang and Y. Zhao, "An energy-constrained signal subspace method for speech enhancement and recognition in white and colored noise," Speech Commun., vol. 26, no. 3, pp. 165-181, Nov. 1998.
11. M. Rahim, B. H. Juang, W. Chou, and E. Buhrke, "Signal conditioning techniques for robust speech recognition," IEEE Signal Processing Lett., vol. 3, pp. 107-109, Apr. 1996.
12. H. Hermansky and N. Morgan, "RASTA processing of speech," IEEE Trans. Speech Audio Processing, vol. 2, pp. 578-589, Oct. 1994.
13. J. M. Huerta and R. M. Stern, "Speech recognition from GSM codec parameters," in Proc. Int. Conf. Spoken Language Processing, Sydney, Australia, Nov. 1998, pp. 1463-1466.
14. H. K. Kim and R. V. Cox, "Bitstream-based feature extraction for wireless speech recognition," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Istanbul, Turkey, June 2000, pp. 1207-1210.
15. _, "A bitstream-based front-end for wireless speech recognition on IS-136 communications system," IEEE Trans. Speech Audio Processing, vol. 9, pp. 558-568, July 2001.
16. Y. Ephraim and D. Malah, "Speech enhancement using a minimum mean-square error log-spectral amplitude estimator," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 443-445, Apr. 1985.
17. A. J. Accardi and R. V. Cox, "A modular approach to speech enhancement with an application to speech coding," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Phoenix, AZ, Mar. 1999, pp. 201-204.
18. D. Malah, R. V. Cox, and A. J. Accardi, "Tracking speech-presence uncertainty to improve speech enhancement in nonstationary noise environments," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Phoenix, AZ, Mar. 1999, pp. 789-792.
19. R. Martin and R. V. Cox, "New speech enhancement techniques for low bit rate speech coding," in Proc. 1999 IEEE Workshop on Speech Coding, Porvoo, Finland, June 1999, pp. 165-167.
20. T. Honkanen, J. Vainio, K. Järvinen, P. Haavisto, R. Salami, C. Laflamme, and J.-P. Adoul, "Enhanced full rate speech codec for IS-136 digital cellular system," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Munich, Germany, Apr. 1997, pp. 731-734.
21. B. H. Juang, L. R. Rabiner, and J. G. Wilpon, "On the use of bandpass liftering in speech recognition," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 947-954, July 1987.
22. K. K. Paliwal and B. S. Atal, "Efficient vector quantization of LPC parameters at 24 bits/frame," IEEE Trans. Speech Audio Processing, vol. 1, pp. 3-14, Jan. 1993.
23. B. Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985.
24. G. S. Kang and L. J. Fransen, "Application of line spectrum pairs to low bit rate speech coders," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Tampa, FL, Mar. 1985, pp. 7.3.1-7.3.4.
25. R. P. Ramachandran and P. Kabal, "Pitch prediction filters in speech coding," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, pp. 467-478, Apr. 1989.
26. A. M. Kondoz, Digital Speech: Coding for Low Bit Rate Communications Systems. Chichester, U.K.: Wiley, 1994.
27. M. A. Ramirez and M. Gerken, "Joint position and amplitude search of algebraic multipulses," IEEE Trans. Speech Audio Processing, vol. 8, pp. 633-637, Sept. 2000.
28. C. Kermorvant, "A Comparison of Noise Reduction Techniques for Robust Speech Recognition,", IDIAP-RR 99-10, 1999.
29. C.-H. Lee, E. Giachin, L. R. Rabiner, R. Pieraccini, and A. E. Rosenberg, "Improved acoustic modeling for large vocabulary continuous speech recognition," Comput. Speech Lang., vol. 6, pp. 103-127, Apr. 1992.
30. B. Gajic and R. C. Rose, "Hidden Markov model environmental compensation for automatic speech recognition on hand-held mobile devices," in Proc. Int. Conf. Spoken Language Processing, Beijing, China, Oct. 2000, pp. 405-408.
31. R. C. Rose, S. Parthasarathy, B. Gajic, A. E. Rosenberg, and S. Narayanan, "On the implementation of ASR algorithms for hand-held wireless mobile devices," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, Salt Lake City, UT, May 2001, pp. 17-20.