Bio metric caller identification

Abstract

This project is aimed at developing a voice based caller identification system, which will identify the caller from a GSM call on the smart phone using a GSM Module and the VR module interfaced with Arduino UNO. The incoming call will be received by the GSM module interfaced with Arduino module. The cal is then transferred to the speaker. A mic is installed near the speaker which takes the voice speech as the input to the VR module. The input voice is recorded in the VR module. When the same caller will call again his voice signal is then compared with the previous call data and the result is shown as the positive result. If someone will call the system whose voice is not saved in the data base, the system will tell as an unidentified user. This project will be useful in identifying the prank calls. Further improvements in the future can be made for accessing individual’s bio data with NADRA cooperation. Bank transactions can be made more secure with the help of voice identification. Another advantage of this project is that spontaneous conversation systems which are able to both recognize the spoken material accurately and understand the meaning of the spoken material. Such systems, which are currently beyond the limits of the existing technology, will enable new services such as ‘Conversation Summarization’, and ultimately even language translation services between any pair of existing languages. Moreover a new generation of voice-enabled service offerings emerging including intelligent agents, customer care wizards, and Call Centre automated attendants, unconstrained dictation capability, and finally unconstrained language translation capability can be employed using this project.