Automatic Speaker Recognition: Current Approaches and Progress in Last Six Decades

Abstract

Automatic speaker recognition is the process to recognizing speaker automatically by their speech/voice on the basis of specific
characteristics of his/her speech signal. These voice specific characteristics are called speech features. Over the past six decades
many recent advances in the area of speaker recognition have been achieved, but still many problems remains to be solved or require
better solutions. The main problems in speaker recognition are session variability, channel mismatch and recording conditions of
voice. To develop an efficient speaker recognition system it needs to examine stable parameters of voice features parameters over
time, unaffected from variation in speaking, background noise, channel distortion and robust against variation of physical problems. This paper overviews recent advances and general ideas of speaker recognition technology.