Comparison of frequency bands in closed set speaker identification performance

Abstract

Lots of words can be said about the importance of speaker identification for people, but noword might be as meaningfull as the imagination of a life without having any speaker identification ability. For example, if we cannot identify people from their voices, without having any additional information it is impossible for us to decide on whom we are talking to on telephone. Of course, this ability seems so simple for us, but computer-based implementations are still far from human abilities. Furthermore, any speaker identification system on computers cannot be designed as an optimum solution. It is known that there is no optimum feature set definition for speaker identification systems. In this work, we study speaker identification performance dependency on the choice of frequency bands.