Nuance - Politecnico Di Torino'S 2016 Nist Speaker Recognition Evaluation System

This paper describes the Nuance-Politecnico di Torino (NPT) speaker recognition system submitted to the NIST SRE16 evaluation campaign. Included are the results of post evaluation tests, focusing on the analysis of the performance of generative and discriminative classifiers, and of score normalization. The submitted system combines the results of four GMM-IVector models. two DNN-IVector models and a GMM-SVM acoustic system. Each system exploits acoustic front-end parameters that differ by feature type and dimension. We analyze the main components of our submission, which contributed to obtaining 8.1% EER and 0.532 actual. C-primary in the challenging SRE16 Fixed condition.