Speaker identification through use of features selected using genetic algorithm

Date

1998-01-08

Author

Haydar, A
Demirekler, Mübeccel
Yurtseven, MK

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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.

Subject Keywords

Electrical and Electronic Engineering

URI

https://hdl.handle.net/11511/56655

Journal

ELECTRONICS LETTERS

DOI

https://doi.org/10.1049/el:19980126

Collections

Graduate School of Natural and Applied Sciences, Article

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.