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SPEAKER IDENTIFICATION AND VERIFICATION OVER SHORT
DISTANCE TELEPHONE LINES USING ARTIFICIAL NEURAL
NETWORKS
Ganesh K Venayagamoorthy, Narend Sunderpersadh, and Theophilus N Andrew
gkumar@ieee.org sundern@telkom.co.za theo@wpo.mlsultan.ac.za
Electronic Engineering Department,
M L Sultan Technikon,
P O Box 1334, Durban, South Africa.
ABSTRACT
Crime and corruption have become rampant today
in our society and countless money is lost each year
due to white collar crime, fraud, and embezzlement.
This paper presents a technique of an ongoing work
to combat white-collar crime in telephone
transactions by identifying and verifying speakers
using Artificial Neural Networks (ANNs). Results
are presented to show the potential of this technique.
1. INTRODUCTION
Several countries today are facing rampant crime and
corruption. Countless money is lost each year due to
white collar crime, fraud, and embezzlement. In today's
complex economic times, businesses and individuals......

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Approximate Word Count: 2479
Approximate Pages: 10 (250 words per double-spaced page)

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