Hidden Markov model-based speech recognition with intermediate wavelet transform domains

Computer Speech and Language

Volumn 11, Issue 3, 1997, Pages 253-273

  Singh, R ^a   Davis, K ^b   Rao, P V S ^a  

^a TATA INSTITUTE OF FUNDAMENTAL RESEARCH   (India)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; SPEECH ANALYSIS; VECTORS; WAVELET TRANSFORMS;

DISCRETE WAVELET TRANSFORM ALGORITHM; HIDDEN MARKOV MODELS (HMM);

SPEECH RECOGNITION;

EID: 0031176764     PISSN: 08852308     EISSN: None     Source Type: Journal    
DOI: 10.1006/csla.1997.0028     Document Type: Article

References (23)

1. Agrawal, S. S. (1988). Acoustic-phonetic studies and speech database for Hindi. In Proceedings of the International Workshop on Speech Processing (S. S. Agrawal, ed.), TIFR, India, pp. 79-86.
2. Bartlet, H. O., Brenner, K. H. & Lohmann, W. (1980). The Wigner distribution function and its optical production. Optical Communications, 32, 32-38.
3. Benedetto, J. & Frazier, M. (eds) (1993). Wavelets: Mathematics and Applications. CRC Press.
4. Beylkin, G., Coifman, R. & Rokhlin, V. (1991). Fast wavelet transforms and numerical algorithms. Communications in Pure Applied Mathematics, 44, 141-183.
5. Bruce, A., Donoho, D. & Gao, H. Y. (1996). Wavelet analysis. IEEE Spectrum, 26-35.
6. Chibber, R. (1988). Direct detection of subsurface hydrocarbons by syntactic pattern recognition of seismic signals. Master of Technology Dissertation, University of Roorkee, Roorkee, India.
7. Chiu, C. K. (ed.) (1992). Wavelets: A Tutorial in Theory and Applications. Academic Press.
8. Cohen, L. (1989). Time-frequency distributions - a review. Proceedings of the IEEE, 77, 941-981.
9. Cohen, L., Daubechies, I. & Vial, P. (1993). Wavelets and fast wavelet transforms on an interval. Applications and Comparatve Harmonics Analysis, 1, 54-81.
10. Daubechies, I. (1988). Orthonormal bases of compactly supported wavelets. Communications in Pure and Applied Mathematics, 41, 909-996.
11. Elspas, B. & Turner, J. (1970). Graphs with circulant adjacency matrices. Combinational Theory, 9, 297-307.
12. Estaban, D. & Galahad, C. (1977). Application of quadrature mirror filters to split-band voice coding schemes. Proceedings of the IEEE International Conference ASSP, pp. 191-195.
13. Gutowski, R. R., Robinson, E. A. & Trietel, S. (1978). Spectral estimation: fact or fiction. IEEE Transactions on Geoscience and Electronics, GE-16, 80-84.
14. Karlin, M. (1970). Decoding of circulant codes. IEEE Transactions, IT-16, 797-802.
15. Levinson, S. E. (1985). Structural methods in automatic speech recognition. Proceedings of the IEEE, 73, 1625-1650.
16. 2(ℜ). Transactions of the American Mathematical Society, 315, 69-87.
17. Mallat, S. (1996). Wavelet Signal Processing. Academic Press.
18. Moharir, P. S. (1990). Reciprocally conjunctive description of signals. In Signal Processing, Communication and Networking (V. U. Reddy and A. Paulraj, eds). Tata McGraw Hill, New Delhi.
19. Moharir, P. S. (1992). Pattern-recognition Transforms. Research Studies Press, Taunton, England.
20. Rawat, K. D. (1994). Creation of general purpose annotated and time-aligned speech database. In Technical Report, CSC, TIFR, Mumbai.
21. Strang, G. & Nguyen, T. (1996). Wavelets and Filter Banks. Wellesley-Cambridge Press.
22. Strichartz, R. (1993). How to make wavelets. American Mathematics Monthly, 100, 539-556.
23. Zue, V. W., Seneff, S. & Glass, J. R. (1989). Speech database development: TIMIT and beyond. In Proceedings of the International Workshop on Recent Trends in Speech, Music and Allied Signal Processing, pp. 13-19.