Date of Award

Fall 1995

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Electrical & Computer Engineering

Program/Concentration

Electrical Engineering

Committee Director

Stephen A. Zahorian

Committee Member

John W. Stoughton

Committee Member

Peter L. Silsbee

Call Number for Print

Special Collections LD4331.E55 N67

Abstract

A method is presented for the application of binary-pair partitioned neural networks to the task of speaker verification. This technique is based on a previously developed neural network classifier for speaker identification.

The main focus of this research was the development and testing of the algorithms necessary to extend the binary-pair partitioning approach from speaker identification to speaker verification. The method is based on the development of a user profile which is obtained from discriminative data provided by the binary-pair partitioned neural networks.

Experimental results are provided which demonstrate the viability of this approach, using the TIMIT speech corpus for input speech. Error rates as low as 0.132 percent are reported using 8.4 seconds of input speech for evaluation purposes.

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DOI

10.25777/x27j-6f84

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