Speaker identification by using power distribution in frequency domain

Abstract

This paper presents a brief overview of the Speaker recognition process, its trends and applications. Further a simple technique based on the Euclidean distance comparison is proposed. The technique is applied for both text-dependent as well as text independent identification. Text dependent identification gives excellent results whereas text independent identification gives almost 80% matching accuracy.