Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00157409" target="_blank" >RIV/68407700:21230/09:00157409 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Czech Spontaneous Speech Collection and Annotation: The Database of Technical Lectures
Original language description
Applying speech recognition into real working systems, spontaneous speech recognition has increasing importance. So the need of spontaneous speech database is evident and this paper describes the collection of Czech spontaneous data recorded within technical lectures. It should be used as a material for the analysis of particular phenomena which appear within spontaneous speech but also as an extension material for training of spontaneous speech recognizers. Speech signals are captured in two differentchannels with slightly different quality and about 14 hours of speech from 15 different speakers are currently collected and annotated. The first analyses of spontaneous speech related effects in the collected data have been performed and the comparisonwith read speech databases is presented.
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
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Artificial Intelligence
ISSN
0302-9743
e-ISSN
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Volume of the periodical
5641
Issue of the periodical within the volume
2009931057
Country of publishing house
DE - GERMANY
Number of pages
9
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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