13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Bilinear Factor Analysis for i-Vector Based Speaker Verification

Yun Lei, Lukáš Burget, Nicolas Scheffer

Speech Technology and Research Laboratory, SRI International, California, USA

The combination of iVector extraction and Probabilistic Linear Discriminant Analysis (PLDA) model forms a basis of the current state of the art speaker verification. The PLDA model makes an assumption that the within-speaker (or inter-session) variability in the iVector space is independent of speaker identity. In this work we propose a new model, which can be seen as an extension of PLDA, relaxing this assumption and allowing the within-speaker variability to be different for different locations of speakers in the iVector space. The potential of the proposed model is demonstrated in preliminary experiments.

Full Paper

Bibliographic reference.  Lei, Yun / Burget, Lukáš / Scheffer, Nicolas (2012): "Bilinear factor analysis for i-vector based speaker verification", In INTERSPEECH-2012, 1588-1591.