Mono and Cross lingual speaker identification with the constraint of limited data

Abstract

Nowadays, Speaker identification system plays a very important role in the field of fast growing internet based communication/transactions. In this paper, speaker identification in the context of Mono-lingual and Cross-lingual are demonstrated for Indian languages with the constraint of limited data. The languages considered for the study are English, Hindi and Kannada. Since the standard Multi-lingual database is not available, experiments are carried out on an our own created database of 30 speakers who can speak the three different languages. It was found out in the experimental study that the Mono-lingual speaker identification gives better performance with English as training and testing language though it is not a native language of speakers considered for the study. Further, it was observed in Cross-lingual study that the use of English language either in training or testing gives better identification performance.