Publication Details

Analysis of BUT-PT Submission for NIST LRE 2017

PLCHOT Oldřich, MATĚJKA Pavel, NOVOTNÝ Ondřej, CUMANI Sandro, LOZANO Díez Alicia, SLAVÍČEK Josef, DIEZ Sánchez Mireia, GRÉZL František, GLEMBEK Ondřej, KAMSALI Veera Mounika, SILNOVA Anna, BURGET Lukáš, ONDEL Yang Lucas Antoine Francois, KESIRAJU Santosh and ROHDIN Johan A.. Analysis of BUT-PT Submission for NIST LRE 2017. In: Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop. Les Sables d'Olonne: International Speech Communication Association, 2018, pp. 47-53. ISSN 2312-2846. Available from:
Czech title
Analýza BUT-PT systému pro NIST LRE 2017
conference paper
Plchot Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Matějka Pavel, Ing., Ph.D. (DCGM FIT BUT)
Novotný Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Cumani Sandro (POLITO)
Lozano Díez Alicia (UAM)
Slavíček Josef (Phonexia)
Diez Sánchez Mireia, M.Sc., Ph.D. (DCGM FIT BUT)
Grézl František, Ing., Ph.D. (DCGM FIT BUT)
Glembek Ondřej, Ing., Ph.D. (DCGM FIT BUT)
Kamsali Veera Mounika (IIIT)
Silnova Anna, MSc., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Ondel Yang Lucas Antoine Francois, Mgr., Ph.D. (DCGM FIT BUT)
Kesiraju Santosh (DCGM FIT BUT)
Rohdin Johan A., Dr. (DCGM FIT BUT)

language recognition


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.

Proceedings of Odyssey: The Speaker and Language Recognition Workshop, vol. 2018, no. 6, ISSN 2312-2846
Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop
Odyssey 2018, Les Sables d'Olonne, France, FR
International Speech Communication Association
Les Sables d'Olonne, FR
EID Scopus
   author = "Old\v{r}ich Plchot and Pavel Mat\v{e}jka and Ond\v{r}ej Novotn\'{y} and Sandro Cumani and Alicia D\'{i}ez Lozano and Josef Slav\'{i}\v{c}ek and Mireia S\'{a}nchez Diez and Franti\v{s}ek Gr\'{e}zl and Ond\v{r}ej Glembek and Mounika Veera Kamsali and Anna Silnova and Luk\'{a}\v{s} Burget and Francois Antoine Lucas Yang Ondel and Santosh Kesiraju and A. Johan Rohdin",
   title = "Analysis of BUT-PT Submission for NIST LRE 2017",
   pages = "47--53",
   booktitle = "Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop",
   journal = "Proceedings of Odyssey: The Speaker and Language Recognition Workshop",
   volume = 2018,
   number = 6,
   year = 2018,
   location = "Les Sables d'Olonne, FR",
   publisher = "International Speech Communication Association",
   ISSN = "2312-2846",
   doi = "10.21437/Odyssey.2018-7",
   language = "english",
   url = ""
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