Speaker and noise factorisation on the AURORA4 task

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 4584-4587

  Wang, Y Q ^a   Gales, M J F ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

acoustic factorisation; Noise robustness; speaker adaptation; vector Taylor series

Indexed keywords

ACOUSTIC MODEL; ADAPTATION SCHEME; BACKGROUND NOISE; CLEAN SPEECH; MULTIPLE FACTORS; NOISE ADAPTATION; NOISE CONDITIONS; NOISE ENVIRONMENTS; NOISE ROBUSTNESS; REALISTIC SCENARIO; SPEAKER ADAPTATION; TARGET SPEAKER; VECTOR TAYLOR SERIES;

FACTORIZATION; MAXIMUM LIKELIHOOD; SIGNAL PROCESSING; SPEECH COMMUNICATION; SPEECH RECOGNITION; TAYLOR SERIES;

ACOUSTIC NOISE;

EID: 80051617808     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5947375     Document Type: Conference Paper

References (14)

1. M. J. F. Gales, Model-based techniques for noise robust speech recognition, Ph.D. thesis, Cambridge University, 1995.
2. P. Moreno, Speech recognition in noisy environments, Ph.D. thesis, Carnegie Mellon University, 1996.
3. A. Acero, L. Deng, T. Kristjansson, and J. Zhang, "HMM adaptation using vector Taylor series for noisy speech recognition," in Proc. ICSLP-2000.
4. J. Li, D. Yu, Y. Gong, and A. Acero, "High-performanceHMM adaptation with joint compensation of additive and convolutive distortions via vector Taylor series," in Proc. ASRU-2007.
5. H. Liao and M. J. F. Gales, "Joint uncertainty decoding for robust large vocabulary speech recognition," Tech. Rep. CUED/F-INFENG/TR552, University of Cambridge, 2006.
6. C. Leggetter and P. C.Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Computer speech and language, vol. 9, pp. 171-186, 1995.
7. M. J. F. Gales, "Maximum likelihood linear transformations for HMM-based speech recognition," Computer speech and language, vol. 12, pp. 75-98, 1998.
8. L. Rigazio, P. Nguyen, D. Kryze, and J.-C. Junqua, "Separating speaker and environment variabilities for improved recognition in non-stationary conditions," in Proc. Eurospeech-2001.
9. M. J. F. Gales, "Acoustic factorisation," in Proc. ASRU-2001.
10. K. Yu and M. J. F. Gales, "Adaptive training using structured transforms," in Proc. ICASSP-2004.
11. R. A. Gopinath et al., "Robust speech recognition in noise - performance of the IBM continuous speech recogniser on the ARPA noise spoke task," in Proc. APRA Workshop on spoken language system technology, 1995, pp. 127-130.
12. K. C. Sim and M. J. F. Gales, "Adaptation of precision matrix models on LVCSR," in Proc. ICASSP2005.
13. N. Parihar and J. Picone, "Aurora working group: DSR front end LVCSR evaluation AU/384/02," Tech. Rep., Inst. for Signal and Information Process, Mississippi State University.
14. K. Demuynck, X. Zhang, D. Van Compernolle, and H. Van hamme, "Feature versus model based noise robustness," in Proc. Interspeech-2010, pp. 721-724.