Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289384" target="_blank" >RIV/00216208:11320/14:10289384 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.lrec-conf.org/proceedings/lrec2014/index.html" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2014/index.html</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license

Popis výsledku v původním jazyce

We present a dataset of telephone conversations in English and Czech, developed to train acoustic models for automatic speech recognition (ASR) in spoken dialogue systems (SDSs). The data comprise 45 hours of speech in English and over 18 hours in Czech.All audio data and a large part of transcriptions was collected using crowdsourcing; the rest was transcribed by hired transcribers. We release the data together with scripts for data re-processing and building acoustic models using the HTK and Kaldi ASR toolkits. We publish the trained models described in this paper as well. The data are released under the CC-BY-SA 3.0 license, the scripts are licensed under Apache 2.0. In the paper, we report on the methodology of collecting the data, on the size andproperties of the data, and on the scripts and their use. We verify the usability of the datasets by training and valuating acoustic models using the presented data and scripts.

Název v anglickém jazyce

Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license

Popis výsledku anglicky

We present a dataset of telephone conversations in English and Czech, developed to train acoustic models for automatic speech recognition (ASR) in spoken dialogue systems (SDSs). The data comprise 45 hours of speech in English and over 18 hours in Czech.All audio data and a large part of transcriptions was collected using crowdsourcing; the rest was transcribed by hired transcribers. We release the data together with scripts for data re-processing and building acoustic models using the HTK and Kaldi ASR toolkits. We publish the trained models described in this paper as well. The data are released under the CC-BY-SA 3.0 license, the scripts are licensed under Apache 2.0. In the paper, we report on the methodology of collecting the data, on the size andproperties of the data, and on the scripts and their use. We verify the usability of the datasets by training and valuating acoustic models using the presented data and scripts.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014)

ISBN

978-2-9517408-8-4

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

4423-4427

Název nakladatele

European Language Resources Association

Místo vydání

Reykjavík, Iceland

Místo konání akce

Reykjavík, Iceland

Datum konání akce

26. 5. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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