Speaker identification and verification over short overcome telephone lines employ artificial neural net flows SPEAKER cognizance AND VERIFICATION OVER SHORT DISTANCE TELEPHONE LINES using ARTIFICIAL NEURAL NETWORKS Ganesh K Venayagamoorthy, N atomic number 18nd 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 raise rampant today in our society and countless gold is anomic distributively year due to white convey out crime, fraud, and embezzlement.
This paper presents a technique of an ongoing work to rubbish white-collar crime in telephone legal proceeding by identifying and verifying speakers using Artificial Neural Networks (ANNs). Results atomic number 18 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: BestEssayCheap.com
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