Detail publikace

Analysis of the DNN-Based SRE Systems in Multi-language Conditions

NOVOTNÝ, O. MATĚJKA, P. GLEMBEK, O. PLCHOT, O. GRÉZL, F. BURGET, L. ČERNOCKÝ, J.

Originální název

Analysis of the DNN-Based SRE Systems in Multi-language Conditions

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper analyzes the behavior of our state-of-the-art Deep Neural Network/i-vector/PLDA-based speaker recognition systems in multi-language conditions. On the "Language Pack" of the PRISM set, we evaluate the systems performance using the NISTs standard metrics. We show that not only the gain from using DNNs vanishes, nor using dedicated DNNs for target conditions helps, but also the DNN-based systems tend to produce de-calibrated scores under the studied conditions. This work gives suggestions for directions of future research rather than any particular solutions to these issues.

Klíčová slova

DNN, Multi-Language, Speaker Recognition

Autoři

NOVOTNÝ, O.; MATĚJKA, P.; GLEMBEK, O.; PLCHOT, O.; GRÉZL, F.; BURGET, L.; ČERNOCKÝ, J.

Vydáno

13. 12. 2016

Nakladatel

IEEE Signal Processing Society

Místo

San Diego

ISBN

978-1-5090-4903-5

Kniha

Proceedings of SLT 2016

Strany od

199

Strany do

204

Strany počet

6

URL

http://ieeexplore.ieee.org/document/7846265/

BibTex

@inproceedings{BUT132603,
  author="Ondřej {Novotný} and Pavel {Matějka} and Ondřej {Glembek} and Oldřich {Plchot} and František {Grézl} and Lukáš {Burget} and Jan {Černocký}",
  title="Analysis of the DNN-Based SRE Systems in Multi-language Conditions",
  booktitle="Proceedings of SLT 2016",
  year="2016",
  pages="199--204",
  publisher="IEEE Signal Processing Society",
  address="San Diego",
  doi="10.1109/slt.2016.7846265",
  isbn="978-1-5090-4903-5",
  url="http://ieeexplore.ieee.org/document/7846265/"
}