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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

Projekt

<a href="/cs/project/DF11P01OVV013" target="_blank" >DF11P01OVV013: Zpřístupnění archivu Českého rozhlasu pro sofistikované vyhledávání</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

New Trends in Image Analysis and Processing - ICIAP 2013

ISBN

9783642411892

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

9

Strana od-do

238-246

Název nakladatele

Springer-Verlag Berlin Heidelber

Místo vydání

Germany, Berlin

Místo konání akce

Italy, Naples

Datum konání akce

9. 9. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—