HMM-based channel error mitigation and its application to distributed speech recognition

Speech Communication

Volumn 41, Issue 4, 2003, Pages 549-561

  Peinado, Antonio M ^a   Sánchez, Victoria ^a   Pérez Córdoba, José L ^a   De la Torre, Ángel ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Channel error mitigation; Distributed speech recognition; Forward backward algorithm; Hidden Markov models; Viterbi algorithm; Wireless communications

Indexed keywords

ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); MARKOV PROCESSES; PARAMETER ESTIMATION; SIGNAL TO NOISE RATIO; SPEECH RECOGNITION;

WIRELESS CHANNELS;

SPEECH COMMUNICATION;

EID: 0242721421     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(03)00048-7     Document Type: Article

References (21)

1. Aurora: ETSI DSR Applications and Protocols Working Group, 2001. New Aurora activity for standardization of a front-end extension for tonal language recognition and speech reconstruction. AU/335/01, June 2001.
2. Bernard, A., Alwan, A., 2001. Joint channel decoding-Viterbi recognition for wireless applications. In: Proceedings of EUROSPEECH-2001, September 2001. pp. 2703-2706.
3. Ebel W.J., Tranter W.H. The performance of reed-Solomon codes on a bursty-noise channel. IEEE Trans. Commun. 43(2-4):1995;298-306.
4. ETSI ES 201 108 v1.1.2, 2000. Distributed speech recognition; front-end feature extraction algorithm; compression algorithms. April 2000.
5. ETSI ES 202 050 v1.1.1, 2002. Distributed speech recognition; advanced front-end feature extraction algorithm; compression algorithms. July 2002.
6. ETSI TR 101 085 v8.0.0, 2000. Digital cellular telecommunications system (Phase 2+) (GSM); performance characterization of the GSM enhanced full rate (EFR) speech code. June 2000.
7. Fingscheidt T., Vary P. Softbit speech decoding: a new approach to error concealment. IEEE Transactions on Speech and Audio Processing. 9(3):2001;240-251.
8. Gerlach, C.G., 1993. A probabilistic framework for optimum speech extrapolation in digital mobile radio. In: Proceedings of ICASSP-93, Vol. 2, 1993. pp. 419-422.
9. Hagenauer, J., Hoeher, P., 1989. A Viterbi algorithm with soft-decision outputs and its application. In: Proceedings of GLOBECOM-89, 1989. pp. 1680-1686.
10. Haykin S. Communication Systems. 2001;John Wiley & Sons, Inc.
11. Ligdas, P., Turin, W., Seshadri, N., 1997. Statistical methods for speech transmission using hidden Markov models. In: Proceedings of 31st Conference on Information Sciences Systems, March 1997. pp. 546-551.
12. Milner, B., 2001. Robust speech recognition in burst-like packet loss. In: Proceedings of ICASSP-2001, May 2001. pp. 261-264.
13. Pearce, D., 2000. Enabling new speech driven services for mobile devices: an overview of the ETSI standards activities for distributed speech recognition front-ends. In: AVIOS 2000: The Speech Applications Conference, San Jose, USA, 2000.
14. Pearce, D., Hirsch, H., 2000. The Aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions. In: Proceedings of ICSLP-2000, Vol. 4, Beijing, China, October 2000. pp. 29-32.
15. Peinado, A., Sánchez, V., Segura, J., Pérez-Córdoba, J., 2001. MMSE-based channel error mitigation for distributed speech recognition. In: Proceedings of EUROSPEECH-2001, September 2001. pp. 2707-2710.
16. Peinado, A.M., Sánchez, V., Pérez-Córdoba, J.L., Segura, J.C., Rubio, A.J., 2002. HMM-based methods for channel error mitigation in distributed speech recognition. In: Proceedings of ICSLP-2002, Denver, September 2002.
17. Potamianos, A., Weerackody, V., 2001. Soft-feature decoding for speech recognition over wireless channels. In: Proceedings of ICASSP-2001, May 2001. pp. 269-272.
18. Rabiner L., Juang B. Fundamentals of Speech Recognition. 1993;Prentice-Hall.
19. Riskin, E.A., Boulis, C., Otterson, S., Ostendorf, M., 2001. Graceful degradation of speech recognition performance over lossy packet networks. In: Proceeding of EUROSPEECH-2001, September 2001. pp. 2715-2718.
20. Skoglund, M., Hedelin, P., 1994. Vector quantization over a noisy channel using soft decision decoding. In: Proceedings of ICASSP-1994, Vol. 5. Adelaide, Australia, April 1994. pp. 605-608.
21. Vaishampayan V., Farvardin N. Joint design of block source codes and modulation signal sets. IEEE Trans. Inf. Theory. 38(July):1992;1230-1248.