Paper Title
Speaker Classification Using SVM

Abstract
In this paper speakers belongs to various geographical regions are classified using Support Vector Machine (SVM). Indic TTS database is used for experimentation. Five thousand audio samples of speakers belongs to various geographical regions are used. Spectral feature of these speech audio signals are extracted and speakers are classified by using SVM. Accuracy is calculated. Keywords - Spectral Features, SVM