Like almost all natural phenomena, speech is the result of many nonlinearly interacting processes; therefore any linear analysis has the potential risk of underestimating, or even missing, a great amount of information content. Recently the technique of Empirical Mode Decomposition (EMD) has been proposed as a new tool for the analysis for nonlinear and nonstationary data. We applied EMD analysis to decompose speech signal into intrinsic oscillatory modes. Besides, the LPC analysis of each mode provides an estimation of formants.
Cite as: Bouzid, A., Ellouze, N. (2007) EMD analysis of speech signal in voiced mode. Proc. ITRW on Nonlinear Speech Processing (NOLISP 2007), 112-115
@inproceedings{bouzid07_nolisp,
author={Aïcha Bouzid and Noureddine Ellouze},
title={{EMD analysis of speech signal in voiced mode}},
year=2007,
booktitle={Proc. ITRW on Nonlinear Speech Processing (NOLISP 2007)},
pages={112--115}
}