Empirical mode decomposition of voiced speech signal

Author(s):  
A. Bouzid ◽  
N. Ellouze
Author(s):  
Palani Thanaraj Krishnan ◽  
Alex Noel Joseph Raj ◽  
Vijayarajan Rajangam

A correction to this paper has been published: https://doi.org/10.1007/s40747-021-00377-y


2011 ◽  
Vol 121-126 ◽  
pp. 815-819 ◽  
Author(s):  
Yu Qiang Qin ◽  
Xue Ying Zhang

Ensemble empirical mode decomposition(EEMD) is a newly developed method aimed at eliminating mode mixing present in the original empirical mode decomposition (EMD). To evaluate the performance of this new method, this paper investigates the effect of two parameters pertinent to EEMD: the emotional envelop and the number of emotional ensemble trials. At the same time, the proposed technique has been utilized for four kinds of emotional(angry、happy、sad and neutral) speech signals, and compute the number of each emotional ensemble trials. We obtain an emotional envelope by transforming the IMFe of emotional speech signals, and obtain a new method of emotion recognition according to different emotional envelop and emotional ensemble trials.


2013 ◽  
Vol 51 (7) ◽  
pp. 811-821 ◽  
Author(s):  
Muhammad Kaleem ◽  
Behnaz Ghoraani ◽  
Aziz Guergachi ◽  
Sridhar Krishnan

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