DocumentCode
621973
Title
Multi-resolution analysis by empirical mode decomposition for usable speech detection
Author
Ghezaiel, W. ; Ben Slimane, Ahmed ; Ben Braiek, Ezzedine
Author_Institution
CEREP, Ecole Sup. des Sci. et Tech. de Tunis, Tunis, Tunisia
fYear
2013
fDate
18-21 March 2013
Firstpage
1
Lastpage
5
Abstract
Many applications of speech communication and speaker identification suffer from the problem of co-channel speech. This paper deals with a multi-resolution analysis by empirical mode decomposition for usable speech segments detection of co-channel speech. Usable speech detected could be processed by a speaker identification system. Experiment and evaluation of this method is performed on TIMIT database.
Keywords
speaker recognition; TIMIT database; cochannel speech detection; empirical mode decomposition; multiresolution analysis; speaker identification; speech communication; usable speech detection; Correlation; Distance measurement; Empirical mode decomposition; Speech; Speech processing; Wavelet transforms; co-channel speech; empirical mode decomposition; multi-resolution; speaker identification; usable segment;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on
Conference_Location
Hammamet
Print_ISBN
978-1-4673-6459-1
Electronic_ISBN
978-1-4673-6458-4
Type
conf
DOI
10.1109/SSD.2013.6564031
Filename
6564031
Link To Document