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Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134181" target="_blank" >RIV/00216305:26230/19:PU134181 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.isca-speech.org/archive/Interspeech_2019/pdfs/1757.pdf" target="_blank" >https://www.isca-speech.org/archive/Interspeech_2019/pdfs/1757.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21437/Interspeech.2019-1757" target="_blank" >10.21437/Interspeech.2019-1757</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Factorization of Discriminatively Trained i-Vector Extractor for Speaker Recognition

  • Original language description

    In this work, we continue in our research on i-vector extractor for speaker verification (SV) and we optimize its architecture for fast and effective discriminative training. We were motivated by computational and memory requirements caused by the large number of parameters of the original generative ivector model. Our aim is to preserve the power of the original generative model, and at the same time focus the model towards extraction of speaker-related information. We show that it is possible to represent a standard generative i-vector extractor by a model with significantly less parameters and obtain similar performance on SV tasks. We can further refine this compact model by discriminative training and obtain i-vectors that lead to better performance on various SV benchmarks representing different acoustic domains.

  • 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

    2019

  • 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 Interspeech

  • ISBN

  • ISSN

    1990-9772

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    4330-4334

  • Publisher name

    International Speech Communication Association

  • Place of publication

    Graz

  • Event location

    INTERSPEECH 2019

  • Event date

    Sep 15, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000831796404095