RSR2015: database for text-dependent speaker verification using multiple pass-phrases

Abstract

This paper describes a new speech corpus, the RSR2015 database designed for text-dependent speaker recognition with scenario based on fixed pass-phrases.This database consists of over 71 hours of speech recorded from English speakers covering the diversity of accents spoken in Singapore.Acquisition has been done using a set of six portable devices including smart phones and tablets.The pool of speakers consists of 300 participants (143 female and 157 male speakers) from 17 to 42 years old.We propose a protocol for the case of user-dependent pass-phrases in text-dependent speaker recognition and we also report speaker recognition experiments on RSR2015 database.