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Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106350" target="_blank" >RIV/00216305:26230/13:PU106350 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10323" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10323</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Manual and Semi-Automatic Approaches to Building a Multilingual Phoneme Set

  • Original language description

    This articles describes a comparison between manual and semi-automatic approaches to building a multilingual phoneme set. The two approaches were compared in cases of 1) a multilingual system with abundant data for all the languages, 2) multilingual systems excluding target language 3) multilingual systems with small amount of data for target languages. The work shows that careful choice of merging methods can help improve recognition of languages with no or little training data and reasonably reduce multilingual phoneme set without losing a lot of accuracy.

  • 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

    2013

  • 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 2013

  • ISBN

    978-1-4799-0355-9

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    7324-7328

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    Vancouver

  • Event location

    Vancouver

  • Event date

    May 27, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000329611507098