UTD-CRSS Systems for 2012 NIST Speaker Recognition Evaluation The CRSS SRE Team

This document briefly describes the systems submitted by the Center for Robust Speech Systems (CRSS) from The University of Texas at Dallas (UTD) for the 2012 NIST Speaker Recognition Evaluation. We developed a state-of-the-art i-vector based speaker recognition system [1]. Probabilistic linear discriminant analysis (PLDA) [2] along with several other backends are used for channel/noise compensation. Given that the emphasis of the NIST SRE-2012 is on noisy and short duration test conditions, in our system development we focused on: (1) novel robust acoustic features, (2) new feature normalization schemes, (3) various back-end strategies for multiple session enrollment.