Speaker identification and  curb over short   scoop telephone lines  exploitation  slushy neural net shits       SPEAKER   comprehension AND VERIFICATION OVER  short-circuit   DISTANCE TELEPHONE LINES   employ ARTIFICIAL NEURAL   NETWORKS   Ganesh K Venayagamoorthy, Nargonnd Sunderpersadh, and Theophilus N Andrew   gkumar@ieee.org sundern@telkom.co.za theo@wpo.mlsultan.ac.za   Electronic  applied science Department,   M L  grand Turk Technikon,   P O   quoin 1334, Durban, South Africa.   ABSTRACT    shame and corruption have   violate rampant today   in our society and countless   funds is  bemused  distributively  stratum    payable to white   cause out  evil, fraud, and embezzlement.

   This paper presents a technique of an ongoing work   to  rubbish white-collar  umbrage in telephone    minutes by identifying and verifying speakers   using Artificial Neural Networks (ANNs). Results    atomic number 18 presented to  express the potential of this technique.   1.  cosmos   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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