Optimizing feature extraction for speech recognition

IEEE Transactions on Speech and Audio Processing

Volumn 11, Issue 1, 2003, Pages 80-87

  Lee, Chulhee ^a   Hyun, Donghoon ^a   Choi, Euisun ^a   Go, Jinwook ^a   Lee, Chungyong ^a  

^a Yonsei University   (South Korea)

Author keywords

Critical band filters; Feature extraction; Mel cepstrum; Optimization; Speech recognition

Indexed keywords

ELECTRIC FILTERS; MATHEMATICAL MODELS; OPTIMIZATION; SPEECH RECOGNITION;

HIDDEN MARKOV MODELS (HMM);

FEATURE EXTRACTION;

EID: 0037228174     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2002.805644     Document Type: Article

References (17)

1. Y. Zhang, R. Togneri, and M. Alder, "Phoneme-based vector quantization in a discrete HMM speech recognizer," IEEE Trans. Speech Audio Processing, vol. 5, pp. 26-32, Jan. 1997
2. J. R. Deller, J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals. New York: Macmillan, 1993
3. S. Moon and J. Hwang, "Robust speech recognition based on joint model and feature space optimization of hidden Markov models," IEEE Trans. Neural Networks, vol. 8, pp. 194-204, Mar. 1997
4. K. Wang, C. Lee, and B. Juang, "Selective feature extraction via signal decomposition," IEEE Signal Processing Lett., vol. 4, pp. 8-11, 1997
5. R. Chengalvarayan and L. Deng, "HMM-based speech recognition using state-dependent, discriminatively derived transforms on mel-warped DFT features," IEEE Trans. Speech Audio Processing, vol. 5, pp. 243-256, May 1997
6. S. A. Zahorian and Z. B. Nossair, "A partitioned neural network approach for vowel classification using smoothed time/frequency features," IEEE Trans. Speech Audio Processing, vol. 7, pp. 414-425, July 1999
7. S. Chang, Y. Kwon, and S. Yang, "Speech feature extracted from adaptive wavelet for speech recognition," Electron. Lett., vol. 34, pp. 2211-2213, 1998
8. D. J. Mashao, Y. Gotoh, and H. F. Silverman, "Analysis of LPC/DFT features for an HMM-based alphadigit recognizer," IEEE Signal Processing Lett., vol. 3, pp. 103-106, Apr. 1996
9. L. Gu and R. Liu, "The application of optimization in feature extraction of speech recognition," in Proc. Int. Conf. Signal Processing, 1996, pp. 745-748
10. A. Biem and S. Katagiri, "Cepstrum-based filter-bank design using discriminative feature extraction training at various levels," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1997, pp. 1503-1506
11. _, "Filter bank design based on discriminative feature extraction," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1994, pp. 485-489
12. R. A. Gopinath, "Maximum likelihood modeling with Gaussian distributions for classification," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1998, pp. 661-664
13. K. Wang and S. Shamma, "Auditory analysis of spectro-temporal information in acoustic signals," IEEE Eng. Med. Biol., vol. 14, pp. 186-194, Mar/Apr. 1995
14. L. Rabiner and B. Juang, Fundamentals of Speech Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1993
15. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes. Cambridge, U.K.: Cambridge Univ. Press, 1986
16. J. L. Buchanan and P. R. Turner, Numerical Methods and Analysis. New York: McGraw-Hill, 1992
17. K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed. New York: Academic, 1990