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

被引：6

作者：

Colibro, Daniele ^{[1
]}

Vair, Claudio ^{[1
]}

Dalmasso, Emanuele ^{[1
]}

Farrell, Kevin ^{[1
]}

Karvitsky, Gennady ^{[1
]}

Cumani, Sandro ^{[2
]}

Laface, Pietro ^{[2
]}

机构：

[1] Nuance Commun Inc, Burlington, MA 01803 USA

[2] Politecn Torino, Turin, Italy

来源：

18TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2017), VOLS 1-6: SITUATED INTERACTION | 2017年

关键词：

Speaker Recognition; i-vector; PLDA; PSVM; AS-Norm; Top-Norm;

D O I：

10.21437/Interspeech.2017-797

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1338 / 1342

页数：5