Abstract:
Providing an identity security is one of the most commonly occurring problems in real life. In everyday transaction, you have to prove that you are you. The ability of recognizing a person based on his voice is known as speaker recognition.
A speaker recognizer system comprises of two distinct blocks, a feature extractor and a recognizer. The feature extractor block uses MFCCs and LPC analysis technique, with the help of which we can translate the incoming speech into a feature value. Also, a recognizer block, combines the two techniques (MFCC and LPC) to get an hybrid features for speaker identification/verification system.
An experiment was carried out on the threshold from 75% to 95% at 5% differential to know the performance of the MFCCs and LPC identification/verification system. From the experiment carried out, the result shows that LPC outperforms MFCCs and a combination, where MFCCs denied a speaker due to the factors like noise, LPC compensate for it to provide recognition accuracy. The text-dependent speaker recognition system was implemented using Java Programming Language. With its application package for speech technology available in Java ( Java Speech Application Programming Interface (JSAPI) ) digitizes the amplitude of each sampled element onto a digital scale and eventually recognized a speaker. The system is developed for access control into computer systems.
