DocumentCode :
1299667
Title :
Speaker identification through use of features selected using genetic algorithm
Author :
Haydar, A. ; Demirekler, M. ; Yurtseven, M.K.
Author_Institution :
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Gazu Magosa, Cyprus
Volume :
34
Issue :
1
fYear :
1998
fDate :
1/8/1998 12:00:00 AM
Firstpage :
39
Lastpage :
40
Abstract :
The authors introduce the use of a genetic algorithm in the reduction of a 24 parameter (12 LPC derived cepstral coefficients +12 Δ-cepstral coefficients) set to a five, six, seven, eight or ten parameter set, for each speaker in text-independent speaker identification. The experimental results show that there is ~5% increase in the recognition rate when the reduced set of parameters is used
Keywords :
feature extraction; genetic algorithms; speaker recognition; LPC; cepstral coefficients; feature selection; genetic algorithm; parameter set; text-independent speaker identification;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19980126
Filename :
654505
Link To Document :
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