APPLICATION COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION                               FOR ANALYSIS OF SPEECH SIGNALS

Alimuradov Alan Kazanferovich, applicant, sub-department of information and measuring equipment, Penza State University, alansapfir@yandex.ru
Kvitka Yuriy Sergeevich, postgraduate student, Penza State University, aravikfleur@gmail.com

621.391; 519.21

The paper considers the problem of applying adaptive methods of speech signal processing. Theoretical studies on the decomposition methods for the analysis of the empirical mode of nonlinear and non-stationary signals. The substantiation of the method of complementary ensemble empirical mode decomposition (CEEMD) for solving the problems of speech signal processing. The results of experimental studies aimed at determining the optimal parameters of the method KMDEM for speech signals.

speech technologies, adaptive processing, voice signals, empirical mode decomposition.