Speech recognition using a wavelet packet adaptive network based fuzzy inference system

Expert Systems with Applications

Volumn 31, Issue 3, 2006, Pages 495-503

  Avci, Engin ^a   Akpolat, Zuhtu Hakan ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Entropy; Expert system; Feature extraction; Speech recognition; Speech voice signal; Wavelet packet adaptive network based fuzzy inference system; Wavelet packet decomposition

Indexed keywords

ADAPTIVE SYSTEMS; ENTROPY; FEATURE EXTRACTION; FUZZY SETS; INFERENCE ENGINES; PACKET NETWORKS; SIGNAL PROCESSING; WAVELET TRANSFORMS;

EXPERT SYSTEM; SPEECH/VOICE SIGNAL; WAVELET PACKET ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; WAVELET PACKET DECOMPOSITION;

SPEECH RECOGNITION;

EID: 33744799021     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.09.058     Document Type: Article

References (33)

1. Antonini M., Barlaud M., Mathieu P., and Daubechies I. Image coding using wavelet transform. IEEE Transactions on Image Processing 1 (1992) 205-220
2. Avci E., Turkoglu I., and Poyraz M. Intelligent target recognition based on wavelet packet neural network. Expert Systems with Applications 29 1 (2005)
3. Buckheit, J. B. & Donoho, D. L. (1995). Wavelab and reproducible research. In: Wavelets and statistics. New York: Springer.
4. Burrus C.S., Gopinath R.A., and Guo H. Introduction to wavelet and wavelet transforms (1998), Prentice Hall, New York
5. Cole R., Hirschman L., Atlas L., Beckman M., Biermann A., Bush M., et al. The challenge of spoken language systems: Research directions for the nineties. IEEE Transactions on Speech and Audio Processing 3 1 (1995) 1-21
6. Davis S.B., and Mermelstein P. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Transactions on Acoustic, Speech and Signal Processing 28 4 (1980) 357-366
7. Erzin E., Cetin A.E., and Yardimci Y. Subband analysis for speech recognition in the presence of car noise. Proceedings of the ICASSP-95, Detroit, MI Vol. 1 (1995) pp. 417-420
8. Farooq O., and Datta S. Mel-scaled wavelet filter based features for noisy unvoiced phoneme recognition. Proceeding of the ICSLP 2002, Denver, Colorado, USA (2002) pp. 1017-1020
9. Jang J.S.R. ANFIS: Adaptive network-based fuzzy inference systems. IEEE Transactions on Systems Man and Cybernetics 23 (1993) 665-685
10. Kadambe S., and Srinivasan P. Applications of adaptive wavelets for speech. Optical Engineering 33 7 (1994) 2204-2211
11. Kasabov N.K., Kilgour R.I., and Sinclair S.J. From hybrid adjustable neuro-fuzzy systems to adaptive connectionist-based systems for phoneme and word recognition. Fuzzy Sets and Systems 103 (1999) 349-367
12. Long C.J., and Datta S. Wavelet based feature extraction for phoneme recognition. Proceeding of the Fourth International Conference of Spoken Language Processing, Philadelphia, USA Vol. 1 (1996) pp. 264-267
13. Mallat S. Zero-crossings of a wavelet transform. IEEE Transactions on Information Theory 37 (1991) 1019-1033
14. Mallat S. A wavelet tour of signal processing (1998), Academic Press, San Diego, CA
15. Mallat S., and Zhong S. Characterization of signals from multiscale edges. IEEE Transactions on Pattern Analysis Machine Intelligence 14 (1992) 710-732
16. Mitchell R.A. Hybrid statistical recognition algorithm for aircraft identification (1997), University of Dayton Press, Dayton, OH
17. Nava, P. & Taylor, J. (1996a). Voice recognition with a fuzzy neural network. Proceedings of the fifth IEEE international conference on fuzzy systems. pp. 2049-2052.
18. Nava, P., & Taylor, J. (1996b). The optimization of neural network performance through incorporation of fuzzy theory. Proceedings of the eleventh international conference on systems engineering. pp. 897-901.
19. Petrovska D., Hennebert J., Mellin H., and Genoud D. A telephone-speech database for speaker recognition. Speech Communication 31 2-3 (2000) 265-270
20. Rabiner R. Applications of voice processing to telecommunications. Proceedings of the IEEE 82 (1994) 199-228
21. Rabiner L.R., Cheng M.J., Rosenberg A.E., and McGonegal C.A. A comparative performance study of several pitch detection algorithms. IEEE Transactions on ASSP ASSP-24 5 (1976) 399-418
22. Saito, N. (1994). Local feature extraction and its application using a library of bases, PhD thesis, Yale University.
23. Sarikaya R., and Hansen H.L. High resolution speech feature parameterization for monophone-based stressed speech recognition. IEEE Signal Processing Letters 7 7 (2000) 182-185
24. Sarikaya R., Pellom B.L., and Hansen H.L. Wavelet packet transform features with application to speaker identification. Proceedings of the IEEE Nordic signal processing symposium, Visgo, Denmark (1998) pp. 81-84
25. Scofield M.C. Neural networks and speech processing (1991), Kluwer Academic, Amsterdam
26. Siafarikas, M., Ganchev, T., & Fakotakis, N. (2004). Wavelet packet based speaker verification, ODYSSEY 2004-the speaker and language recognition workshop. Toledo, Spain.
27. Szu H.H. Reviewof wavelet transforms for pattern recognition. Proceedings of the SPIE Wavelet Applications III 2762 (1996) 2-22
28. Tufekci Z., and Gowdy J.N. Feature extraction using discrete wavelet transform for speech recognition. Proceedings of the IEEE Southeastcon 2000 (2000) 116-123
29. Visser E., Otsuka M., and Lee T. A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. Speech Communication 41 (2003) 393-407
30. Wesfried E., and Wickerhauser M.V. Adapted local trigonometric transforms and speech processing. IEEE SP 41 (1993) 3597-3600
31. Yallop C.C. An introduction to phonetics and phonology (1990), Blackwell, Cambridge, MA
32. Zadeh L.A. Fuzzy sets and applications: Selected papers by L.A. Zadeh (1987), Wiley, New York
33. Zhang J., Walter G.G., Miao Y., and Lee W.N.W. Wavelet neural networks for function learning. IEEE Transactions on Signal Processing 43 6 (1995)