Speaker identification and verification over short...

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.†¦show more content†¦Often after a long legal battle, the victims are left with a worthless judgement and no recovery. One solution to avoid white collar crimes and shorten the lengthy time in locating and serving perpetrators with a judgement is by the use of biometrics techniques for identifying and verifying individuals. Biometrics are methods for recognizing a user based on his/her unique physiological and/or behavioural characteristics. These characteristics include fingerprints, speech, face, retina, iris, hand-written signature, hand geometry, wrist veins, etc. Biometric systems are being commercially developed for a number of financial and securit applications. Many people today have access to their company’s information systems by logging in from home. Also, internet services and telephone banking are widely used by the corporate and private sectors. Therefore to protect one’s resources or information with a simple password is not reliable and secure in the world of today. The conventional methods of using keys, access passwords and access cards are being easily overcome by peo ple with criminal intention. Voice signals as a unique behavioral characteristics is proposed in this paper for speaker identification and verification over short distance telephone lines using artificial neural networks. This will address the white collar crimes over the telephone lines. Speaker identification [1] and verification [2] overShow MoreRelatedManaging Information Technology (7th Edition)239873 Words   |  960 Pagesleft blank CONTENTS Preface xvii Chapter 1 Managing IT in a Digital World 1 Recent Information Technology Trends 2 Computer Hardware: Faster, Cheaper, Mobile 2 Computer Software: Integrated, Downloadable, Social 2 Computer Networks: High Bandwidth, Wireless, Cloudy New Ways to Compete 4 New Ways to Work 5 Managing IT in Organizations Managing IT Resources IT Leadership Roles 4 5 5 7 The Topics and Organization of This Textbook 8 Review Questions