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Advances in Acoustic Modeling for the Recognition of Czech

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F08%3APU76782" target="_blank" >RIV/00216305:26230/08:PU76782 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advances in Acoustic Modeling for the Recognition of Czech

  • Original language description

    This paper presents recent advances in Automatic Speech Recognition for the Czech Language. Improvements were achieved both in acoustic and language modeling. We mainly aim on the acoustic part of the issue. The results are presented in two contexts, thelecture recognition and SpeeCon+Temic test set. The paper shows the impact of using advanced modeling techniques such as HLDA, VTLN and CMLLR. On the lecture test set, we show that training acoustic models using word networks together with the pronunciation dictionary gives about 4-5% absolute performance improvement as opposed to using direct phonetic transcriptions. An effect of incorporating the &quot;schwa&quot; phoneme in the training phase shows a slight improvement.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

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

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proc. 11th International Conference on Text, Speech and Dialogue

  • ISBN

    978-3-540-87390-7

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin

  • Event location

    Brno

  • Event date

    Sep 8, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article