Comparison of the automatic speaker recognition performance over standard features

This paper presents a study of speaker recognition accuracy depending on the choice of features, window width and model complexity. The standard features were considered, such as linear and perceptual prediction coefficients (LPC and PLP) and mel-frequency cepstral coefficients (MFCC). Gaussian mixt...

Full description

Bibliographic Details

Published in:	2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics pp. 341 - 344
Main Authors:	Dobrovic, M. M., Delic, V. D., Jakovljevic, N. M., Jokic, I. D.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2012
Subjects:	Hidden Markov models Load modeling Mel frequency cepstral coefficient Speaker recognition Speech Training Vectors
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!