Wavelet transform domain blind equalization and its application to speech analysis
نویسندگان
چکیده
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.
منابع مشابه
Speech Analysis with Blind Equalization Technique
The conventional linear prediction can be viewed as a constrained blind equalization problem that has gained a lot of interests along with development of telecommunication networks. Because the blind equalization or deconvolution is a general framework of the inverse problem, the reliable and faster algorithm is requested in many applications. This paper proposes an orthogonal wavelet transform...
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