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13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135811" target="_blank" >RIV/00216305:26230/19:PU135811 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26230/20:PU135811

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0885230819302797?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0885230819302797?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.csl.2019.101035" target="_blank" >10.1016/j.csl.2019.101035</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    13 years of speaker recognition research at BUT, with longitudinal analysis of NIST SRE

  • Original language description

    In this paper, we present a brief history and a "longitudinal study" of all important milestone modelling techniques used in text independent speaker recognition since Brno University of Technology (BUT) first participated in the NIST Speaker Recognition Evaluation (SRE) in 2006-GMM MAP, GMM MAP with eigen-channel adaptation, Joint Factor Analysis, i-vector and DNN embedding (x-vector). To emphasize the historical context, the techniques are evaluated on all NIST SRE sets since 2004 on a time-machine principle, i.e. a system is always trained using all data available up till the year of evaluation. Moreover, as user-contributed audiovisual content dominates nowadays Internet, we representatively include the Speakers In The Wild (SITW) and VOiCES challenge datasets in the evaluation of our systems. Not only we present a comparison of the modelling techniques, but we also show the effect of sampling frequency.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    COMPUTER SPEECH AND LANGUAGE

  • ISSN

    0885-2308

  • e-ISSN

    1095-8363

  • Volume of the periodical

    2020

  • Issue of the periodical within the volume

    63

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    1-15

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85080857173