Speaker identification through use of features selected using genetic algorithm

1998-01-08
Haydar, A
Demirekler, Mübeccel
Yurtseven, MK
The authors introduce the use of a genetic algorithm in the reduction of a 24 parameter (12 LPC derived cepstral coefficients +12 Delta-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 similar to 5% increase in the recognition rate when the reduced set of parameters is used.

Citation Formats
A. Haydar, M. Demirekler, and M. Yurtseven, “Speaker identification through use of features selected using genetic algorithm,” ELECTRONICS LETTERS, vol. 34, no. 1, pp. 39–40, 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56655.