Phoneme recognition using wavelet based features

Information Sciences

Volumn 150, Issue 1-2, 2003, Pages 5-15

  Farooq, O ^a   Datta, S ^a  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Discrete wavelet transform; Feature extraction; Multi layer perceptron

Indexed keywords

FEATURE EXTRACTION; FOURIER TRANSFORMS; SPEECH RECOGNITION; WAVELET TRANSFORMS;

DISCRETE WAVELET TRANSFORMS (DWT);

INFORMATION SCIENCE;

EID: 0037363392     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(02)00366-3     Document Type: Conference Paper

References (15)

1. S. Balakrishnama, A. Ganapathiraju, J. Picone, Linear discriminant analysis for signal processing problems, Proceedings of the IEEE Southeastcon Lexington, Kentucky, USA, March, 1999, pp. 36-39.
2. J.B. Buckheit, D.L. Donoho, Improved linear discrimination using time-frequency dictionaries, Proceedings of SPIE, vol. 2569, Pt. 2, San Diego, USA, July 1995, pp. 540-551.
3. Chang S., Kwon Y., Yang S. Speech feature extracted from adaptive wavelet for speech recognition. Electron. Lett. 34(23):1998;2211-2213.
4. Coifman R.R., Donoho D.L. Translation-invariant denoising. Antoniadis, Oppenheim Wavelets and Statistics, Lecture Notes in Statistics. 1995;125-150 Springer-Verlag.
5. Deshmukh N., Ganapathiraju A., Picone J. Hierarchical search for large-vocabulary conversational speech recognition - Working toward a solution to the decoding problem. IEEE Sig. Process. Mag. (September):1999;84-107.
6. Looney C.G. Pattern Recognition using Neural Network: Theory and Algorithms for Engineers and Scientists. 1997;Oxford University Press, New York.
7. C.J. Long, Phoneme discrimination using non-linear wavelet methods, Ph.D. thesis, Loughborough University, 1999.
8. C.J. Long, S. Datta, Wavelet based feature extraction for phoneme recognition, Proceedings of the 4th International Conference of Spoken Language Processing Philadelphia, USA Oct.1996, Vol. 1, pp. 264-267.
9. Mallat S. A wavelet tour of signal processing. 1998;Academic Press, San Diego.
10. Ney H., Ortmanns S. Dynamic programming search for continuous speech recognition. IEEE Sig. Process. Mag. (September):1999;64-83.
11. Picone J. Signal modeling techniques in speech recognition. Proc. IEEE. 81(9):1993;1215-1247.
12. Picone J., Ebel W.J., Deshmukh N. Automatic speech understanding: The next generation. Dig. Sig. Process. CR57:1995;101-114.
13. Rioul O., Vetterli M. Wavelet and signal processing. IEEE Sig. Process. Mag. (October):1991;14-38.
14. B.T. Tan, M. Fu, A. Spray, P. Dermody, The use of wavelet transform for phoneme recognition, Proceedings of the 4th International Conference of Spoken Language Processing Philadelphia, vol. 4, USA, October 1996, pp. 2431-2434.
15. Young S. A review of large vocabulary continuous-speech recognition. IEEE Sig. Process. Mag. (September):1996;45-57.