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
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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
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Czech description
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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
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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
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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
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EID of the result in the Scopus database
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