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Bayesian Models for Unit Discovery on a Very Low Resource Language

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130733" target="_blank" >RIV/00216305:26230/18:PU130733 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11719" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11719</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP.2018.8461545" target="_blank" >10.1109/ICASSP.2018.8461545</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bayesian Models for Unit Discovery on a Very Low Resource Language

  • Original language description

    Developing speech technologies for low-resource languages has become a very active research field over the last decade. Among others, Bayesian models have shown some promising results on artificial examples but still lack of in situ experiments. Our work applies state-of-the-art Bayesian models to unsupervised Acoustic Unit Discovery (AUD) in a real low-resource language scenario. We also show that Bayesian models can naturally integrate information from other resourceful languages by means of informative prior leading to more consistent discovered units. Finally, discovered acoustic units are used, either as the 1-best sequence or as a lattice, to perform word segmentation. Word segmentation results show that this Bayesian approach clearly outperforms a Segmental-DTW baseline on the same corpus.

  • 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

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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 ICASSP 2018

  • ISBN

    978-1-5386-4658-8

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    5939-5943

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Calgary

  • Event location

    Calgary

  • Event date

    Apr 15, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000446384606020