5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Wavelet Transform Domain Blind Equalization and Its Application to Speech Analysis

Munehiro Namba, Yoshihisa Ishida

Meiji University, Japan

In this paper, a wavelet transform domain realization of the blind equalization technique termed as EVA is applied to speech analysis. The conventional linear prediction problem can be viewed as a constrained blind equalization problem. Because the EVA does not impose any restriction to the probability distribution in the input (the glottal excitation), the principal features of speech can be effectively separated from a speech in a short duration. The computational complexity will be a problem, but the proposed implementation in a wavelet transform domain promotes the faster convergence in the analysis of speech signal.

Full Paper

Bibliographic reference.  Namba, Munehiro / Ishida, Yoshihisa (1998): "Wavelet transform domain blind equalization and its application to speech analysis", In ICSLP-1998, paper 0055.