Publication Details

Analysis of BUT-PT Submission for NIST LRE 2017

PLCHOT, O.; MATĚJKA, P.; NOVOTNÝ, O.; CUMANI, S.; LOZANO DÍEZ, A.; SLAVÍČEK, J.; DIEZ SÁNCHEZ, M.; GRÉZL, F.; GLEMBEK, O.; KAMSALI VEERA, M.; SILNOVA, A.; BURGET, L.; ONDEL YANG, L.; KESIRAJU, S.; ROHDIN, J. Analysis of BUT-PT Submission for NIST LRE 2017. In Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop. Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland. Les Sables d'Olonne: International Speech Communication Association, 2018. p. 47-53. ISSN: 2312-2846.
Czech title
Analýza BUT-PT systému pro NIST LRE 2017
Type
conference paper
Language
English
Authors
Plchot Oldřich, Ing., Ph.D. (DCGM)
Matějka Pavel, Ing., Ph.D. (DCGM)
Novotný Ondřej, Ing., Ph.D.
Cumani Sandro, Ph.D.
LOZANO DÍEZ, A.
SLAVÍČEK, J.
DIEZ SÁNCHEZ, M.
Grézl František, Ing., Ph.D. (DCGM)
Glembek Ondřej, Ing., Ph.D.
KAMSALI VEERA, M.
Silnova Anna, M.Sc., Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
ONDEL YANG, L.
Kesiraju Santosh, Ph.D. (DCGM)
Rohdin Johan Andréas, M.Sc., Ph.D. (DCGM)
URL
Keywords

language recognition

Abstract

In this paper, we summarize our efforts in the NIST Language Recognition Evaluations (LRE) 2017 which resulted in systems providing very competitive and state-of-the-art performance. We provide both the descriptions and the analysis of the systems that we included in our submission. We explain our partitioning of the datasets that we were provided by NIST for training and development, and we follow by describing the features, DNN models and classifiers that were used to produce the final systems. After covering the architecture of our submission, we concentrate on post-evaluation analysis. We compare different DNN Bottle-Neck features, i-vector systems of different sizes and architectures, different classifiers and we present experimental results with data augmentation and with improved architecture of the system based on DNN embeddings. We present the performance of the systems in the Fixed condition (where participants are required to use only predefined data sets) and in addition to official NIST LRE17 evaluation set, we also provide results on our internal development set which can serve as a baseline for other researchers, since all training data are fixed and provided by NIST.

Published
2018
Pages
47–53
Journal
Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland, vol. 2018, no. 6, ISSN 2312-2846
Proceedings
Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop
Publisher
International Speech Communication Association
Place
Les Sables d'Olonne
DOI
10.21437/Odyssey.2018-7
EID Scopus
2-s2.0-85074731254
BibTeX 
@inproceedings{BUT155068,
  author="PLCHOT, O. and MATĚJKA, P. and NOVOTNÝ, O. and CUMANI, S. and LOZANO DÍEZ, A. and SLAVÍČEK, J. and DIEZ SÁNCHEZ, M. and GRÉZL, F. and GLEMBEK, O. and KAMSALI VEERA, M. and SILNOVA, A. and BURGET, L. and ONDEL YANG, L. and KESIRAJU, S. and ROHDIN, J.",
  title="Analysis of BUT-PT Submission for NIST LRE 2017",
  booktitle="Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop",
  year="2018",
  journal="Proceedings of Odyssey: The Speaker and Language Recognition Workshop Odyssey 2014, Joensuu, Finland",
  volume="2018",
  number="6",
  pages="47--53",
  publisher="International Speech Communication Association",
  address="Les Sables d'Olonne",
  doi="10.21437/Odyssey.2018-7",
  issn="2312-2846",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2018/plchot_odyssey2018_69.pdf"
}
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