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Speaker Recognition Using Shifted Mfcc, Rishiraj Mukherjee
Speaker Recognition Using Shifted Mfcc, Rishiraj Mukherjee
USF Tampa Graduate Theses and Dissertations
Speaker Recognition is the art of recognizing a speaker from a given database using speech as the only input. In this thesis we will be discussing a novel approach to detect speakers. Here we will introduce the concept of shifted MFCC to add improvement over the performance from previous work which has shown quite a decent amount of accuracy of about 95% at best. We will be talking about adding different parameters which also contributed in improving the efficiency of speaker recognition. Also we will be testing our algorithm on Text dependent speech data and Text Independent speech data. Our …