Dealing with Bilingualism in Automatic Transcription of Historical Archive of Czech Radio

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002789" target="_blank" >RIV/46747885:24220/13:#0002789 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-41190-8_26" target="_blank" >http://dx.doi.org/10.1007/978-3-642-41190-8_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-41190-8_26" target="_blank" >10.1007/978-3-642-41190-8_26</a>

Result language
angličtina
Original language name
Dealing with Bilingualism in Automatic Transcription of Historical Archive of Czech Radio
Original language description
One of the biggest challenges in the automatic transcription of the historical audio archive of Czech and Czechoslovak radio is bilingualism. Two closely related languages, Czech and Slovak, are mixed in many archive documents. Both were the official languages in former Czechoslovakia (1918-1992) and both were used in media. The two languages are considered similar, although they differ in more than 75 % of their lexical inventories, which complicates automatic speech-to-text conversion. In this paper,we present and objectively measure the difference between the two languages. After that we propose a method suitable for automatic identification of two acoustically and lexically similar languages. It is based on employing 2 size-optimized parallel lexicons and language models. On large test data, we show that the 2 languages can be distinguished with almost 99 % accuracy. Moreover, the language identification module can be easily incorporated into a 2-pass decoding scheme with almost n
Czech name
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Czech description
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Project
<a href="/en/project/DF11P01OVV013" target="_blank" >DF11P01OVV013: Disclosure of the Czech Radio archive for sophisticated search</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
New Trends in Image Analysis and Processing - ICIAP 2013
ISBN
9783642411892
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
238-246
Publisher name
Springer-Verlag Berlin Heidelber
Place of publication
Germany, Berlin
Event location
Italy, Naples
Event date
Sep 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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