Automatic model complexity control using marginalized discriminative growth functions

2003 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2003

Volumn , Issue , 2003, Pages 37-42

  Liu, X ^a   Gales, M J F ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ERRORS; STRUCTURAL OPTIMIZATION;

AUXILIARY FUNCTIONS; COMPLEXITY CONTROLS; LAPLACE APPROXIMATION; LARGE VOCABULARY SPEECH RECOGNITION; OPTIMAL MODEL STRUCTURES; PERFORMANCE RANKINGS; SPONTANEOUS SPEECH RECOGNITION; TWO STAGE APPROACH;

SPEECH RECOGNITION;

EID: 84946723273     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2003.1318400     Document Type: Conference Paper

References (15)

1. A. H. Welsh (1996). Aspects of Statistical Inference, John Wiley & Sons, Inc., 1996.
2. G. Schwartz (1978). Estimating the Dimension of a Model, The Annals of Statistics, pp. 461-464, Vol. 6, No. 2, February 1978.
3. A. R. Barron, J. J. Rissanen & B. Yu (1998). The Minimum Description Length Principle in Coding and Modeling, IEEE Transactions on Information Theory, pp. 2743-2760, Vol. 44, No. 6, October 1998.
4. Z. Ghahramani & M. J. Beal (2000). Graphical Models and Variational Methods, Advanced Mean Field Method - Theory and Practice. MIT Press 2000.
5. P.S. Gopalakrishnan, D. Kanevsky, A. Nadas, and D. Nahamoo (1989). Generalization of the Baum algorithm to Rational Objective Functions, Proc. ICASSP'89, pp. 631-634.
6. Y. Normandin (1991), Hidden Markov Models Maximum Mutual Information Estimation and the Speech Recognition Problem, PhD thesis, McGill University, Canada.
7. V. Valtchev (1995). Discriminative Methods for HMM-based Speech Recognition, PhD thesis, Cambridge University Engineering Department, England.
8. P. C. Woodland & D. Povey (2002). Large Scale Discriminative Training of Hidden Markov Models for Speech Recognition. Computer Speech and Language, Vol. 16, pp. 25-47.
9. D. Povey (2003). Discriminative Training for Large Vocabulary Speech Recognition, PhD thesis, Cambridge University Engineering Department, England.
10. A. Gunawardana (2001). The Information Geometry of EM Variants for Speech and Image Processing. PhD Thesis, John Hopkins University, April 2001.
11. M. Padmanabhan & L. R. Bahl (2000). Model Complexity Adaptation Using a Discriminant Measure, IEEE Transactions on Speech and Audio Processing, pp. 205-208, Vol. 8, No. 2, March 2000.
12. J. Kaiser, B. Horvat & Z. Kacic, A Novel Loss Function for the Overall Risk-criterion Based Discriminative Training of HMM Models, ICSLP'2000.
13. M. J. F. Gales (2002). Maximum Likelihood Multiple Projection Schemes for Hidden Markov Models, IEEE Transactions on Speech and Audio Processing, pp. 37-47, Vol. 10, 2002.
14. W. Chou & W. Reichl (1999). Decision Tree State Tying Based on Penalized Bayesian Information Criterion, Proc. ICASSP'99, Vol. 1, Phoenix.
15. X. Liu, M. J. F. Gales & P. C. Woodland (2003). Automatic Complexity Control for HLDA Systems, Proc. ICASSP'03, Vol. 1, Hong Kong.