New cosine similarity scorings to implement gender-independent speaker verification

This paper is a natural extension of our previous work on gender-independent speaker verification systems [1]. In a previous paper, we presented a solution to avoid using gender information in the Probabilistic Linear Discriminant Analysis (PLDA) without any loss of accuracy compared with a genderdependent base-line implementation. In this work, we propose two solutions to make a speaker verification system based on Cosine similarity independent of speaker gender. Our choice of the Cosine similarity is motivated by the fact that it is proved itself as a second state-of-the art in parallel with PLDAof i-vector based speaker verification systems. As measured by Equal Error Rate and min DCF’s, performance results on the extended telephone list coreext-coreext condition of SRE2010 show no performance decrease in gender-independent Cosine similarity system compared to gender-dependent one. Tests were also successful for genderindependent propositions on a cross gender list as done in [1].