CRSS SYSTEMS FOR 2012 NIST SPEAKER RECOGNITION EVALUATION

摘要

This paper describes the systems developed by the Center for Robust Speech Systems (CRSS), for the 2012 National Institute of Standards and Technology (NIST) Speaker Recognition Evaluation (SRE). Given that the emphasis of SRE'12 is on noisy and short duration test conditions, our system development focused on: (i) novel robust acoustic features, (ii) new feature normalization schemes, (iii) various back-end strategies utilizing multi-session and multi-condition training, and (iv) quality measure based system fusion. Noisy and short duration training/test conditions are artificially generated and effectively utilized. Active speech duration and signal-to-noise-ratio (SNR) estimates are successfully employed as quality measures for system calibration and fusion. Overall system performance was very successful for the given test conditions.