In this paper a speaker dependent cohort selection for T-norm score normalization is proposed in the context of text-dependent speaker verification.

Abstract—In this paper a speaker dependent cohort selection for T-norm score normalization is proposed in the context of text-dependent speaker verification ...

There are two normalization methods, the Min-Max normalization method [39], and the Z-score normalization method [40] . The former method is used to normalize ...

The new method is shown to outperform several other methods in a text-dependent verification task. Several normalization methods are also compared.

In order to overcome this score's sensitivity, the use of normalized score, based on cohort speakers (impostors) has been proposed [1 – 6]. Several issues ...

Impostor cohort normalisation (ICN) may be used to improve speaker verification performance. The choice of impostors for the cohort is critical to the success ...

Speaker verification systems require some kind of background model to reliably perform the verification task. Several algorithms have been proposed for the ...

This paper deals with several cohort methods for score normalization in speaker verification systems. At first, the reasons for score normalization are ...

Impostor cohort normalisation (ICN) may be used to improve speaker verification performance. The choice of impostors for the cohort is critical to the ...

Cohort selection for text-dependent speaker verification score normalization. 2016 2nd International Conference on Advanced Technologies for Signal and Image ...