Abstract
Cepstral analysis has been used on voiced speech to separate (deconvolve) the vocal tract filtering effect from the excitation produced by vocal fold vibration (voicing). This paper presents a new approach to speech deconvolution via the biorthogonal wavelet decomposition and reconstruction. The results of some experiments using wavelet deconvolution with voiced speech are given, and these results are compared with the cepstral method. They show that the wavelet method has the property of robustness. It is also automatic and easy to implement.
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References
Hanson, H.M.; Maragos, P.; Potamianos, A. A system for finding speech formants and modulations via energy separation, Speech and Audio Processing, IEEE Transactions, Volume: 2 Issue: 3, July 1994, Page(s): 436–443
Maragos, P.; Kaiser, J.F.; Quatieri, T.F. Energy separation in signal modulations with application to speech analysis, Signal Processing, IEEE Transactions, Volume: 41 Issue: 10, Oct. 1993 Page(s): 3024–3051
J. R. Deller Jr., J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals. New York: IEEE PRESS, 2000.
Gowdy, J.N.; Tufekci, Z. Mel-scaled discrete wavelet coefficients for speech recognition Acoustics, Speech, and Signal Processing, 2000. ICASSP’ 00. Proceedings. 2000 IEEE International Conference, Volume: 3, 2000, Page(s): 1351–1354 vol.3
Yu Hao; Xiaoyan Zhu, A new feature in speech recognition based on wavelet transform, Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference, Volume: 3,2000 Page(s): 1526–1529
Kidae Kim; Dae Hee Youn; Chulhee Lee, Evaluation of wavelet filters for speech recognition, Systems, Man, and Cybernetics, 2000 IEEE International Conference, Volume: 4, 2000 Page(s): 2891–2894
Gilbert Strang and Truong Nguyen, Wavelet and Filter Banks, Wellesley-Cambridge Press, 1997.
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© 2001 Springer-Verlag Berlin Heidelberg
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Weiping, H., Linggard, R. (2001). Speech Signal Deconvolution Using Wavelet Filter Banks. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_32
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DOI: https://doi.org/10.1007/3-540-45333-4_32
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