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Speaker identification through use of features selected using genetic algorithm

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3 Author(s)
A. Haydar ; Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Gazu Magosa, Cyprus ; M. Demirekler ; M. K. Yurtseven

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

Published in:

Electronics Letters  (Volume:34 ,  Issue: 1 )