Nuance - Politecnico di Torino’s 2016 NIST Speaker Recognition Evaluation System

Daniele Colibro, Claudio Vair, Emanuele Dalmasso, Kevin Farrell, Gennady Karvitsky, Sandro Cumani, Pietro Laface

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.

doi: 10.21437/Interspeech.2017-797

Cite as: Colibro, D., Vair, C., Dalmasso, E., Farrell, K., Karvitsky, G., Cumani, S., Laface, P. (2017) Nuance - Politecnico di Torino’s 2016 NIST Speaker Recognition Evaluation System. Proc. Interspeech 2017, 1338-1342, doi: 10.21437/Interspeech.2017-797

@inproceedings{colibro17_interspeech,
  author={Daniele Colibro and Claudio Vair and Emanuele Dalmasso and Kevin Farrell and Gennady Karvitsky and Sandro Cumani and Pietro Laface},
  title={{Nuance - Politecnico di Torino’s 2016 NIST Speaker Recognition Evaluation System}},
  year=2017,
  booktitle={Proc. Interspeech 2017},
  pages={1338--1342},
  doi={10.21437/Interspeech.2017-797}
}