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Modeling of pronunciation, language and nonverbal units at conversational Russian speech recognition

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919612" target="_blank" >RIV/49777513:23520/13:43919612 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scopus.com/record/display.url?eid=2-s2.0-84880608704&origin=resultslist&sort=plf-f&cite=2-s2.0-84872512624&src=s&imp=t&sid=7AFC1218245E269A99CAA0AC46F63467.fM4vPBipdL1BpirDq5Cw%3a190&sot=cite&sdt=a&sl=0&relpos=4&relpos=4&citeCnt=0&searchTerm=" target="_blank" >http://www.scopus.com/record/display.url?eid=2-s2.0-84880608704&origin=resultslist&sort=plf-f&cite=2-s2.0-84872512624&src=s&imp=t&sid=7AFC1218245E269A99CAA0AC46F63467.fM4vPBipdL1BpirDq5Cw%3a190&sot=cite&sdt=a&sl=0&relpos=4&relpos=4&citeCnt=0&searchTerm=</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling of pronunciation, language and nonverbal units at conversational Russian speech recognition

  • Original language description

    The main problems of a conversational Russian speech recognition system development are variability of pronunciation, free word-order in sentences and presence of speech disfluencies. In the paper, pronunciation variability is modeled by creation of multiple word transcriptions. A syntactic statistical language model that takes into account long-distant word dependencies is proposed for Russian language modeling. Also in this paper the results of analysis of such speech disfluencies as artefacts and filled pauses, which were extracted during segmentation of the Russian speech corpus, are presented. The recognition accuracy of nonverbal elements in the collected corpus was 87%. The proposed methods of pronunciation variability modeling and syntactic-statistical language model creation were realized in the software complex for Russian speech recognition. The performed experiments with large vocabulary using syntactic-statistical language model showed that word error rate of the system wa

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ME08106" target="_blank" >ME08106: DIMAS-CZ Development of integral multimodal assistive system</a><br>

  • 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

  • Name of the periodical

    International Journal of Computer Science and Applications

  • ISSN

    0972-9038

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    IN - INDIA

  • Number of pages

    20

  • Pages from-to

    11-30

  • UT code for WoS article

  • EID of the result in the Scopus database