Generalization of linear discriminant analysis used in segmental unit input HMM for speech recognition

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

Volumn 4, Issue , 2007, Pages

  Sakai, Makoto ^a,b   Kitaoka, Norihide ^b,c   Nakagawa, Seiichi ^b  

^a DENSO CORPORATION   (Japan)

^b TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

^c NAGOYA UNIVERSITY   (Japan)

Author keywords

Feature extraction; Multi dimensional signal processing; Speech recognition

Indexed keywords

ACOUSTIC SIGNAL PROCESSING; DATA STRUCTURES; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; HIDDEN MARKOV MODELS;

LINEAR DISCRIMINANT ANALYSIS (LDA); MULTI-DIMENSIONAL SIGNAL PROCESSING;

SPEECH RECOGNITION;

EID: 34547528170     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366917     Document Type: Conference Paper

References (15)

1. S. Nakagawa and K. Yamamoto, "Evaluation of segmental unit input HMM," Proc. ICASSP, pp. 439-442, 1996.
2. M. Ostendorf and S. Roukos, "A stochastic segment model for phoneme-based continuous speech recognition," IEEE Trans. Acoust., Speech and Signal Processing, vol. 37, no. 12, pp. 1857-1869, 1989.
3. R. Haeb-Umbach and H. Ney, "Linear discriminant analysis for improved large vocabulary continuous speech recognition." Proc. ICASSP, pp. 13-16, 1992.
4. K. Fukunaga, Introduction to statistical pattern recognition, Academic Press, New York, second edition, 1990.
5. R. O. Duda, P. B. Hart, and D. G. Stork. Pattern Classification, John Wiley and Sons. New York. 2001.
6. N. A. Campbell, "Canonical variate analysis - a general model formulation," Australian Journal of Statistics, pp. 86-96, 1984.
7. N. Kumar and A. G. Andreou, "Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition," Speech Communication, pp. 283-297, 1998.
8. G. Saon, M. Padmanabhan, R. Gopinath, and S. Chen. "Maximum likelihood discriminant feature spaces," Proc. ICASSP. pp. 129-132, 2000.
9. J. R. Magnus and H. Neudecker. Matrix Differential Calculus with Applications in Statistics and Econometrics, John Wiley and Sons, 1999.
10. J. A. Neider and R. Mead, "A simplex method for function minimization," Computer Journal, vol. 7, pp. 308-313, 1965.
11. C. J. P. Belisle, "Convergence theorems for a class of simulated annealing algorithms." Journal of Applied Probability, vol. 29, pp. 885-892, 1992.
12. J. Nocedal and S. J. Wright, Numerical Optimization, Springer-Verlag, 1999.
13. M. Fujimoto, K. Takeda, and S. Nakamura, "CENSREC-3: An evaluation framework for Japanese speech recognition in real driving-car environments," IEICE Transactions on Information and Systems, vol. E89-D, no. 11, pp. 2783-2793, 2006.
14. HTK Web site, http://htk.eng.cam.ac.uk/.
15. R. A. Gopinath, "Maximum likelihood modeling with gaussian distributions for classification," Proc. ICASSP, 1998.