Speaker identification and verification over short distance telephone l

SPEAKER IDENTIFICATION AND VERIFICATION OVER SHORTDISTANCE TELEPHONE LINES USING conventionalized NEURALNETWORKSGanesh K Venayagamoorthy, Narend Sunderpersadh, and Theophilus N Andrewgkumarieee.org sunderntelkom.co.za theowpo.mlsultan.ac.zaElectronic Engineering Department,M L Sultan Technikon,P O Box 1334, Durban, South Africa.ABSTRACTCrime and decadency have become rampant todayin our society and countless money is lost each course of studydue to white collar crime, fraud, and embezzlement.This make-up presents a technique of an ongoing workto combat white-collar crime in telephonetransactions by identifying and verifying speakersusing Artificial spooky Networks (ANNs). Resultsare presented to show the potential of this technique.1. INTRODUCTIONSeveral countries today are facing rampant crime andcorruption. Countless money is lost each year due towhite collar crime, fraud, and embezzlement. In todayscomplex economic times, businesses and individualsare both falling victims to these devastating crimes.Employees embezzle funds or steal goods from theiremployers, then disappear or hide behind legal issues.Individuals can easily become helpless victims ofidentity theft, stock schemes and other scams that snarfthem of their moneyWhite collar crime occurs in the gray area where thecriminal law ends and civil law begins. Victims ofwhite collar crimes are approach with navigating a dauntinglegal maze in order to effect some sort of resolution orrecovery. Law enforcement is a great deal too cogitate oncombating street crime or does not have the expertiseto investigate and prosecute sophisticated fraudulentacts. Even if criminal prosecution is pursued, a criminalconviction does not mean that the victims of fraud areable to recover their losses. They have to rely on thcriminal courts awarding income tax return after the convictionand by then the perpetrator has disposed of or hiddemost of the assets available for recovery. From the civillaw perspective, resol ution and recovery can right be adifficult as pursuing criminal prosecution. Perpetratorsof white collar crime are often difficult to locate andserved with civil process. one time the perpetrators havebeen located and served, proof must be provided thatthe fraudulent act occurred and recovery/damages areneeded. This usually takes a lengthy legal fight, whichoften can cost the victim more money than t... ...phone speech, IEEESignal touch Letters, vol. 2 no. 3 March 1995, pp.46 - 48.2 J.M.Naik, L.P.Netsch, G.R.Doddington, Speaker chip over long distance telephone lines,Proceedings of IEEE International Conference onAcoustics, Speech, and Signal Processing (ICASSP),23-26 May 1989, pp. 524 - 527.3 A.L.Mcilraith, H.C.Card, Birdsong RecognitionUsing Backpropagation and variable Statistics,Proceedings of IEEE Trans on Signal Processing, vol.45, no. 11, November 1997.4 G.K.Venayagamoorthy, V.Moonasar,K.Sandrasegaran, Voice Recognition Using NeuralNetworks, Proceedings of IEEE South Afr icanSymposium on Communications and Signal Processing(COMSIG 98), 7-8 September 1998, pp. 29 - 32.5 V.Moonasar, G.K.Venayagamoorthy, Speakeridentification using a combination of differentparameters as feature inputs to an artificial neuralnetwork classifier, accepted for outcome in theProceedings of IEEE Africon 99 conference, CapeTown, 29 September 2 October 99.6 H.Demuth, M.Beale, MATLAB Neural NetworkToolbox Users Guide, The Maths Works Inc., 1996.7 T.Kohonen, Self-organizing and join memorySpring Verlag, Berlin, third edition, 1989.