Research of Frequency-Selective Properties of Empirical Mode Decomposition Methods for Speech Signals' Pitch Frequency Estimation

Abstract

The problem of efficiency increasing of speech signals' analysis in pitch frequency (PF) estimation algorithms at the pre-processing stage is considered. A brief review of Empirical Mode Decomposition (EMD) methods is presented. The Complementary Ensemble Empirical Mode Decomposition (CEEMD) is offered as a new method of adaptive decomposition of speech signals. The research results of frequency-selective properties of the CEEMD and its application in PF estimation algorithm at the preprocessing stage are provided.