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Analysis of BUT-PT Submission for NIST LRE 2017

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130760" target="_blank" >RIV/00216305:26230/18:PU130760 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/groups/speech/publi/2018/plchot_odyssey2018_69.pdf" target="_blank" >http://www.fit.vutbr.cz/research/groups/speech/publi/2018/plchot_odyssey2018_69.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of BUT-PT Submission for NIST LRE 2017

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of Odyssey 2018 The Speaker and Language Recognition Workshop

  • ISBN

  • ISSN

    2312-2846

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    47-53

  • Publisher name

    International Speech Communication Association

  • Place of publication

    Les Sables d'Olonne

  • Event location

    Les Sables d'Olonne, France

  • Event date

    Jun 26, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article