Speaker identification and verification over short outmatch telephone lines using artificial neural networks SPEAKER recognition 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 corner 1334, Durban, South Africa. ABSTRACT Crime and corruption have develop rampant today in our society and countless currency is lost distributively year due to white find out crime, fraud, and embezzlement.
This paper presents a technique of an ongoing work to rubbish white-collar crime in telephone transactions by identifying and verifying speakers using Artificial Neural Networks (ANNs). Results are presented to express the potential of this technique. 1. INTRODUCTION Several countries today are confront rampant crime and corruption. Countless money is lost each year due to w...If you want to get a abounding essay, order it on our website:
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