Speaker Classification Using MNN

  • Mr. Sanjay S. Badhe , Dr. Suresh D. Shirbahadurkar

Abstract

In this paper Indian speakers belong to various geographical regions or states of India, are classified using Modular Neural Networks (MNN). Indic TTS database is used for experimentation. Five thousand audio samples of speakers belong to various geographical regions are used. Spectral features of these speech audio signals are extracted and speakers are classified by using MNN. Accuracy is calculated using confusion matrix.

Published
2020-07-01
How to Cite
Mr. Sanjay S. Badhe , Dr. Suresh D. Shirbahadurkar. (2020). Speaker Classification Using MNN . International Journal of Advanced Science and Technology, 29(7), 13219 - 13225. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/29006
Section
Articles