Using Various Types of Multimedia Resources to Train System for Automatic Transcription of Czech Historical Oral Archives

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002790" target="_blank" >RIV/46747885:24220/13:#0002790 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-41190-8_25" target="_blank" >http://dx.doi.org/10.1007/978-3-642-41190-8_25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-41190-8_25" target="_blank" >10.1007/978-3-642-41190-8_25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using Various Types of Multimedia Resources to Train System for Automatic Transcription of Czech Historical Oral Archives

Popis výsledku v původním jazyce

Historical spoken documents represent a unique segment of national cultural heritage. In order to disclose the large Czech Radio audio archive to research community and to public, we have been developing a system whose aim is to transcribe automaticallythe archive files, index them and make them searchable. The transcription of contemporary (1 or 2 decades old) documents is based on the lexicon and statistical language model (LM) built from a large amount of recent texts available in electronic form. From the older periods (before 1990), however, digital texts do not exist. Therefore, we needed a) to find resources that represent language of those times, b) to convert them from their original form to text, c) to utilize this text for creating epoch specific lexicons and LMs, and eventually, d) to apply them in the developed speech recognition system. In our case, the main resources included: scanned historical newspapers, shorthand notes from the national parliament and subtitles from

Název v anglickém jazyce

Using Various Types of Multimedia Resources to Train System for Automatic Transcription of Czech Historical Oral Archives

Popis výsledku anglicky

Historical spoken documents represent a unique segment of national cultural heritage. In order to disclose the large Czech Radio audio archive to research community and to public, we have been developing a system whose aim is to transcribe automaticallythe archive files, index them and make them searchable. The transcription of contemporary (1 or 2 decades old) documents is based on the lexicon and statistical language model (LM) built from a large amount of recent texts available in electronic form. From the older periods (before 1990), however, digital texts do not exist. Therefore, we needed a) to find resources that represent language of those times, b) to convert them from their original form to text, c) to utilize this text for creating epoch specific lexicons and LMs, and eventually, d) to apply them in the developed speech recognition system. In our case, the main resources included: scanned historical newspapers, shorthand notes from the national parliament and subtitles from

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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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

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Počet stran výsledku

10

Strana od-do

228-237

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

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