An efficient use of support vector machines for speech signal classification

Authors:
Balwant A. Sonkamble;D. D. Doye;Sulochana Sonkamble
Affiliations:
PICT, Pune, Maharashtra, India;E & TC Dept, GGSIE&T, Nanded, Maharashtra, India;MMCOE, Pune, Maharashtra, India
Venue:
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
Year:
2009

Citing 3
Cited 0

Fundamentals of speech recognition

Fundamentals of speech recognition
An introduction to support Vector Machines: and other kernel-based learning methods

An introduction to support Vector Machines: and other kernel-based learning methods
A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we are proposing a new classifier called support vector machines to classify the speech signals. We have achieved very good generalization performance by implementing the support vector machines with various kernel functions. The use One-vs-One Classifier with voting algorithm improves speech signal classification systems efficiency.