Automated Teller Machine control by voice

Abstract

This Research describes and simulates the implementation of speech recognition authentication in the ATM (Automated teller machine) to control the access, payment, and to reduce the number of claims involving fraudulent or disputed transactions which rising steeply. The methods used for speech recognition is signal processing, i.e. analyzing the human voice(speech) signal by determining it’s parameters, extracting feature of a voice signal using MATLAB Language, the Voice signals are sampled directly from the microphone and then they are processed using MATLAB for extracting the features and parameters of voice signal.. Then, these data become the input of the ATM which is conveyed to another Computer using Turbo C++ to check and accept the legal access and deny hacking or fraud.