A multilingual speech database for speaker recognition

Abstract

This paper report the experiments carried out on the recently collected speaker recognition database to study the impact of language variability on speaker verification system. The speech database consists of speech data recorded from 100 speakers with Arunachali languages of North-East India as mother tongue. The speech data is collected in three different languages English, Hindi and a local language of Arunachal Pradesh. The collected database is evaluated with Gaussian mixture model based speaker verification system. The impact of the mismatch in training and testing language has been evaluated. The initial study explores the impact of language mismatched in the training and testing on the performance of the speaker verification system.