Title

A Combined Approach to Text-Dependent Speaker Identification: Comparison with Pure Neural Net Approaches

Publication Type

Journal Article

Publication Date

1998

Abstract

A novel approach to automatic speaker identification (ASI) is presented. Most of the present automatic speaker identification systems based on neural networks have no definite mechanisms to compensate for time distortions due to elocution. Such models have less precise information about the intraspeaker measure. The new combined approach uses both distortion-based and discriminant-based methods. The distortion-based and discriminant-based methods are dynamic time warping (DTW) and artificial neural network (ANN) respectively. This paper compares this new classifier with a pure neural net classifier for speaker identification. The performance of the combined classifier surpasses that of a pure ANN classifier for the conditions tested.

Discipline

Artificial Intelligence and Robotics

Research Areas

Intelligent Systems and Decision Analytics

Publication

Journal of Circuits, Systems and Computers

Volume

8

Issue

2

First Page

273

Last Page

281

ISSN

0218-1266

Identifier

10.1142/S0218126698000110

Publisher

World Scientific Publishing

Additional URL

http://dx.doi.org/10.1142/S0218126698000110