Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Frequently Asked Questions
Frequently Asked Questions
Communities & Collections
Communities & Collections
Speaker identification through use of features selected using genetic algorithm
Date
1998-01-08
Author
Haydar, A
Demirekler, Mübeccel
Yurtseven, MK
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
7
views
0
downloads
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