Speaker-centric score normalisation and time pattern analysis for continuous speaker verification

In this paper we introduce the concept of a continuous speaker verification system in a mobile phone environment. The system verifies the speaker during the phone call. We discuss speaker-centric score normalisation and time pattern analysis which extends a speaker verification system to allow continuous verification. Experiments showed that speaker-centric score normalisation improved performance. Moreover, it standardises the target score distribution to allow the accurate prediction of miss probabilities. The performance evaluation of time pattern analysis revealed an impostor locking of 95% while the target speakers remained unlocked