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Robust Speaker Authentication Based on Combined Speech and Voiceprint Recognition

Mario Malcangi, George Maroulis, Theodore E. Simos

Abstract: Personal authentication is becoming increasingly important in many applications that have to protect proprietary data. Passwords and personal identification numbers (PINs) prove not to be robust enough to ensure that unauthorized people do not use them. Biometric authentication technology may offer a secure, convenient, accurate solution but sometimes fails due to its intrinsically fuzzy nature. This research aims to demonstrate that combining two basic speech processing methods, voiceprint identification and speech recognition, can provide a very high degree of robustness, especially if fuzzy decision logic is used.
Keywords: speech perception / fuzzy logic / biometric authentication / neural network / speech processing / speech recognition / artificial intelligent

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