Text-independent speaker verification using speaker clustering and support vector machines

In this paper, we propose a novel approach to speaker verification. One of the problems in conventional speaker verification techniques is that constructing good speaker background models is difficult. In this paper, the background speakers are clustered into groups using a speaker clustering technique and the background model is constructed based on those groups. The support vector machine based speaker verification models are trained on the enrolled speaker and the background model: Preliminary results on text-independent speaker verification are provided to demonstrate the effectiveness of such systems.