Discriminant Wavelet Basis Construction for Speech Recognition

5th International Conference on Spoken Language Processing, ICSLP 1998

Volumn , Issue , 1998, Pages

  Long, C J ^a   Datta, S ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION; WAVELET TRANSFORMS;

COST-FUNCTION; FEATURES EXTRACTION; MISCLASSIFICATIONS; PARAMETERIZATION TECHNIQUES; SHORT TIME FOURIER TRANSFORMS; SPEECH SIGNALS; SUB-SPACES; TRAINING PHASIS; WAVELET BASIS; WAVELETS TRANSFORM;

COST FUNCTIONS;

EID: 85128408611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. N.Saito, “Local Feature Extraction and its Applications using a Library of Bases,” A Dissertation, Yale University, Dec. 1994.
2. R.R.Coifman and M.V.Wickerhauser, “Entropy-Based Algorithms for Best Basis Selection,” IEEE Transactions on Information Theory, vol. 38, no.2, pp. 713-718, March 1992.
3. M.V.Wickerhauser, “Acoustic Signal Compression with Wavelet Packets,” In Chui C.K.(ed) Wavelets: A Tutorial in Theory and applications (1992).
4. J.A.Thripuraneni et al, “Mixed Malvar Wavelets for Non-stationary Signal Representation,” Proc.ICASSP vol.1pp.13-16, Atlanta (1996).
5. C.D'Alessandro and G.Richard, “Random wavelet representation of unvoiced speech,” Proc. IEEE-SP Int.Symp. on Time Frequency and Time Scale Analysis, pp. 41-44 (Oct.1992).
6. S.Kadambe and G.Faye Boudreaux-Bartels, “Application of the Wavelet Transform for Pitch Detection of Speech Signals,”,” IEEE Transactions on Information Theory, vol. 38, no.2, pp. 713-718, March 1992.
7. I.Daubechies, “Orthonormal bases of compactly supported wavelets,” Comm in Pure and Applied Math., vol.41 No.7, pp.909-996, 1988.
8. S.Mallat, “A theory for multiresolution signal decomposition: The wavelet representation,” IEEE Trans. Pattern Anal. Machine Intell., vol. 31, pp. 674-693, 1989.
9. O.Rioul and M.Vetterli, “Wavelets and Signal Processing,” IEEE Signal Processing Magazine, October 1991.
10. N.Saito, “Classification of Geophysical Acoustic Waveforms using Time-Frequency Atoms,” Proceedings of Statistical Computing, Amer. Statist. Assoc. (1996).