Combination of speech features using smoothed heteroscedastic linear discriminant analysis

8th International Conference on Spoken Language Processing, ICSLP 2004

Volumn , Issue , 2004, Pages 2549-2552

  Burget, Lukáš ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE COMBINATION; HETEROSCEDASTIC; LINEAR DISCRIMINANT ANALYSIS; NOCV2; SPEECH FEATURES; TRAINING DATA;

DISCRIMINANT ANALYSIS;

EID: 85009141768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. L. Burget, "Measurement of complementarity of recognition systems," Tech. Rep., Brno University of Technology, Faculty of Information Technology, 2003.
2. J. G. Fiscus, "A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (rover)," in Proc. IEEE Workshop on automatic speech recognition and understanding, 1997.
3. K. Fukunaga, Introduction to statistical pattern recognition, Academic press, Inc., Boston, USA, 1990.
4. N. Kumar, Investigation of Silicon-Auditory Models and Generalization of Linear Discriminant Analysis for Improved Speech Recognition, Ph. D. thesis, John Hopkins University, Baltimore, 1997.
5. M.J.F. Gales., "Semi-tied covariance matrices for hidden markov models," IEEE Trans. Speech and Audio Processing, vol. 7, pp. 272-281, 1999.
6. R. G. Leonard, "A database for speaker-independent digit recognition," in Proc. ICASSP'84, 1984.
7. D. Pearce H. G. Hirsch, "The aurora experimental framework for the performance evaluations of speech recognition systems under noisy conditions," in Automatic Speech Recognition: Challenges for the Next Millennium. ISCA ITRW ASR2000, Paris, France.
8. S. B. Davis and P. Mermelstein, "Comparison of parametric representation for monosyllabic word recognition in continuously spoken sentences," IEEE Trans. on Acoustics, Speech & Signal Processing, vol. 28, No. 4, pp. 357-366, 1980.