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Enhanced ATM Machine using Voice Recognition to Reduce Fraudulence Rate

Hridya Venugopal, U. Hema, S. Kalaiselvi


This paper focuses on the implementation of voice recognition in ATM machine. The main aim is to make the disabled people use the ATM in an effective manner. This method is one of the safe recognition and cost effective system which is appropriate for the current scenario. The implementation of this system depends on three algorithm includes: Hidden state algorithm for speech rate and frequency evaluation, Pitch identification algorithm for pitch estimation of voiceprints and accent analysis algorithm for accent calculation. These proposed algorithms make the system much more secured, efficient and accurate than the other system. The advantages in the proposed voice recognition system are: The background noises and distortion in voice is reduced and the insecurity in the system is overcome.



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