Automatic Speaker Identification Using Neural Networks.

Soliman, K.; El-Kasasy, Mohamed Sherif Moustafa Abou El-Magd; Mahmoud, Rasha Orban

doi:10.21608/bfemu.2021.144790

Automatic Speaker Identification Using Neural Networks.

Document Type : Research Studies

Authors

¹ Department of Computer and Control systems., Faculty of Engineering., El-Mansoura University., Monsoura., Egypt.

² Department of Computer and Control systems., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

³ Department of Computer and Control systems., Faculty of Engineering., El-Mansoura University., Mansoura.,Egypt.

10.21608/bfemu.2021.144790

Abstract

This paper presents speaker identification system using neural network techniques similar to that reported in [7] bul, with different type of neural networks, The results have shown that using a feed-forward neural network in classification stage has improved the percentage of correct classification. It reaches 97.5% compared to 95.72%, correct classification obtained in [7].

Main Subjects