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

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Citation Formats

A. Haydar, M. Demirekler, and M. Yurtseven, “Speaker identification through use of features selected using genetic algorithm,” ELECTRONICS LETTERS, pp. 39–40, 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56655.