Particle filtering and Polyak averaging-based non-stationary noise tracking for ASR in noise

Proceedings of ASRU 2005: 2005 IEEE Automatic Speech Recognition and Understanding Workshop

Volumn 2005, Issue , 2005, Pages 337-342

  Fujimoto, Masakiyo ^a   Nakamura, Satoshi ^a  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC VARIABLES MEASUREMENT; FEEDBACK CONTROL; MARKOV PROCESSES; PROBLEM SOLVING;

NOISE COMPENSATION METHOD; NOISE SEQUENCES; PARTICLE FILTERING; POLYAK AVERAGING;

SPEECH RECOGNITION;

EID: 33846236933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2005.1566495     Document Type: Conference Paper

References (18)

1. S. F. Boll, "Suppression of Acoustic Noise in Speech Using Spectral Subtraction," IEEE Trans. on ASSP, Vol. 27, No. 2, pp. 113-120, Apr. 1979.
2. F. H. Liu and R. M. Stern, "Efficient Cepstral Normalization for Robust Speech Recognition," Proc. ARPA Workshop on Human Language Technology, pp. 69-74, Mar. 1993.
3. ETSI ES 202 050 V1.1.3, "Speech Processing, Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Advanced Front-end Feature Extraction Algorithm; Compression Algorithms," Nov. 2003.
4. J. C. Segura, A. de la Torre, M. C. Benitez, and A. M. Peinado, "Model-Based Compensation of the Additive Noise for Continuous Speech Recognition. Experiments Using AURORA II Database and Tasks," Proc. EuroSpeech '01, Vol. I, pp. 221-224, Sept. 2001.
5. P. J. Moreno, B. Raj, and R. M. Stern, "A Vector Taylor Series Approach for Environment-Independent Speech Recognition," Proc. ICASSP '96, Vol. II, pp. 733-736, May 1996.
6. V. Krishnamurthy and J. B. Moore, "On-Line Estimation of Hidden Markov Model Parameters Based on the Kullback-Leibler Information Measure," IEEE Trans. on SP, Vol. 41, No. 8, pp. 2557-2573, Aug. 1993.
7. M. Afify and O. Siohan, "Sequential Estimation with Optimal Forgetting for Robust Speech Recognition," IEEE Trans. on SAP, Vol. 12, No. 1, pp. 19-26, Jan. 2004.
8. K. Yao, K. K. Paliwal, and S. Nakamura, "Noise Adaptive Speech Recognition Based on Sequential Noise Parameter Estimation," Speech Communication, Vol. 42, Issue 1, pp. 5-23, Jan. 2004.
9. T. A. Myrvoll and S. Nakamura, "Online Cepstral Filtering Using A Sequential EM Approach with Polyak Averaging and Feedback," Proc. ICASSP '05, Vol. I, pp. 261-264, March, 2005.
10. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking," IEEE Trans. SP, Vol. 50, No. 2, pp. 174.188, Feb. 2002.
11. K. Yao and S. Nakamura, "Sequential noise compensation by sequential Monte Carlo method," Proc. NIPS '01, pp. 1205-1212, Dec. 2001.
12. W. K. Hastings, "Monte Carlo sampling methods using Markov chains and their applications," Biometrika, Vol. 57, No. 1, pp. 97-109, Jan. 1970.
13. M. Fujimoto and S. Nakamura, "Particle Filter-based Non-stationary Noise Tracking for Robust Speech Recognition," ICASSP '05, Vol. I, pp. 257-260, Mar. 2005.
14. B. T. Polyak and A. B. Juditsky, "Acceleration of Stochastic Approximation by Averaging," SIAM J. Contr. Optim., Vol. 30, No. 4, pp.838-855, July 1992.
15. H. J. Kushner and J, Yang, "Stochastic Approximation with Averaging and Feedback: Rapidly Convergent "On-Line" Algorithm," IEEE Trans. on AC, Vol. 40, No. 1, pp. 24-34, Jan. 1995.
16. S. Nakamura, K. Takeda, K. Yamamoto, T. Yamada, S. Kuroiwa, N. Kitaoka, T. Nishiura, A. Sasou, M. Mizumachi, C. Miyajima, M. Fujimoto, and T. Endo, "AURORA-2J, An Evaluation Framework for Japanese Noisy Speech Recognition," IEICE Transactions on Information and Systems, Vol. E88-D, No. 3, pp. 535-544, Mar. 2005.
17. T. Endo, T. Horiuchi, T. Shimizu, and S. Nakamura, "Speech Recognition Experiments with ATR Ambient Noise Sound Database - ATRANS -," IPSJ SIG Technical Reports, SLP-57-8, pp. 43-48, July 2005. (in Japanese)
18. HTK Web site, http://htk.eng.cam.ac.uk/