VOICED SPEECH CHARACTERISATION BASED ON EMPIRICAL MODE DECOMPOSITION

Abstract

Empirical Mode Decomposition (EMD) is a tool for the analysis of multi-component signals. The EMD algorithm decomposes adaptively a given oscillation modes namely the functions of intrinsic mode (IMFs) extracted from the signal itself signal. The analysis method is no need for a basic function fixed a priori as conventional analytical methods (eg Fourier transform and the wavelet transform). In this paper, the algorithm of empirical mode decomposition (EMD) is proposed as an alternative to estimate the vocal tract formants characterizing the vocal tract. The proposed method was tested on natural speech. LPC analysis of the first three functions intrinsic modes using the autocorrelation is calculated; a comparison was made between the LPC analysis of the first three vowel of MFIs studied and the LPC analysis of the speech signal.