Structured log linear models for noise robust speech recognition

IEEE Signal Processing Letters

Volumn 17, Issue 11, 2010, Pages 945-948

  Zhang, Shi Xiong ^a   Ragni, Anton ^a   Gales, Mark John Francis ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Discriminative models; large margin training; speech recognition; structured SVM

Indexed keywords

ART MODEL; AUTOMATIC SPEECH RECOGNITION; CLASSIFICATION TASKS; DISCRIMINATIVE MODELS; GENERATIVE MODEL; LARGE MARGIN TRAINING; LOGLINEAR MODEL; MODEL-BASED; NOISE COMPENSATION; NOISE ROBUST SPEECH RECOGNITION; STRUCTURED SUPPORTS; STRUCTURED SVM;

MATHEMATICAL MODELS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

SPEECH RECOGNITION;

EID: 77957744761     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2010.2077626     Document Type: Article

References (13)

1. D. Povey, "Discriminative Training for Large Vocabulary Speech Recognition", Ph. D. dissertation, Cambridge Unive., Cambridge, U. K., 2004.
2. F. Sha and L. K. Saul, "Large margin hidden markov models for automatic speech recognition", in Neural Information Processing Systems. Cambridge, MA: MIT Press, 2007, pp. 1249-1256.
3. G. Zweig and P. Nguyen, "A segmental CRF approach to large vocabulary continuous speech recognition", in ASRU, 2009.
4. O. Birkenes, T. Matsui, and K. Tanabe, "Isolated-word recognition with penalized logistic regression machines", in ICASSP 2006, 2006, vol. 1.
5. M. Layton and M. Gales, "Augmented statistical models for speech recognition", in Proc. ICASSP, Toulouse, 2006.
6. N. Smith, "Using Augmented Statistical Models and Score Spaces for Classification", Ph. D. dissertation, Cambridge Univ., Cambridge, U. K., 2003.
7. M. J. F. Gales and F. Flego, "Discriminative classifiers with adaptive kernels for noise robust speech recognition", Comput. Speech Lang., vol. 24, no. 4, pp. 648-662, 2010.
8. B. Taskar, "Learning Structured Prediction Models: A Large Margin Approach", Ph. D. dissertation, Dept. Comput. Sci., Stanford Univ., Stanford, CA, 2005.
9. A. Acero, L. Deng, T. Kristjansson, and J. Zhang, "HMM adaptation using vector taylor series for noisy speech recognition", in Proc. ICSLP, Beijing, China, 2000.
10. I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun, "Large margin methods for structured and interdependent output variables", J. Mach. Learn. Res., vol. 6, pp. 1453-1484, 2005.
11. K. Crammer, Y. Singer, N. Cristianini, J. Shawe, and B. Williamson, "On the algorithmic implementation of multiclass kernel-based vector machines", J. Mach. Learn. Res., vol. 2, 2001.
12. H. Liao and M. Gales, Joint Uncertainty Decoding for Robust Large Vocabulary Speech Recognition Cambridge Univ., Cambridge, U. K., Tech. Rep. CUED/F-INFENG/TR552, Nov. 2006.
13. S.-X. Zhang and M. J. F. Gales, Structured Log Linear Models for Noise Robust Speech Recognition Cambridge Univ., Cambridge, U. K., Tech. Rep. CUED/F-INFENG/TR658, 2010 [Online]. Available: http://mi.eng.cam.ac.uk/~mjfg