ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511657" target="_blank" >RIV/00216208:11320/25:10511657 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-032-02548-7_25" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-032-02548-7_25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-032-02548-7_25" target="_blank" >10.1007/978-3-032-02548-7_25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data

Popis výsledku v původním jazyce

We introduce ParCzech4Speech 1.0, a processed version of the ParCzech 4.0 corpus, targeted at speech modeling tasks with the largest variant containing 2,695 h. We combined the sound recordings of the Czech parliamentary speeches with the official transcripts. The recordings were processed with WhisperX and Wav2Vec 2.0 to extract automated audio-text alignment. Our processing pipeline improves upon the ParCzech 3.0 speech recognition version by extracting more data with higher alignment reliability. The dataset is offered in three flexible variants: (1) sentence-segmented for automatic speech recognition and speech synthesis tasks with clean boundaries, (2) unsegmented preserving original utterance flow across sentences, and (3) a raw-alignment for further custom refinement for other possible tasks. All variants maintain the original metadata and are released under a permissive CC-BY license. The dataset is available in the LINDAT repository, with the sentence-segmented and unsegmented variants additi

Název v anglickém jazyce

ParCzech4Speech: A New Speech Corpus Derived from Czech Parliamentary Data

Popis výsledku anglicky

We introduce ParCzech4Speech 1.0, a processed version of the ParCzech 4.0 corpus, targeted at speech modeling tasks with the largest variant containing 2,695 h. We combined the sound recordings of the Czech parliamentary speeches with the official transcripts. The recordings were processed with WhisperX and Wav2Vec 2.0 to extract automated audio-text alignment. Our processing pipeline improves upon the ParCzech 3.0 speech recognition version by extracting more data with higher alignment reliability. The dataset is offered in three flexible variants: (1) sentence-segmented for automatic speech recognition and speech synthesis tasks with clean boundaries, (2) unsegmented preserving original utterance flow across sentences, and (3) a raw-alignment for further custom refinement for other possible tasks. All variants maintain the original metadata and are released under a permissive CC-BY license. The dataset is available in the LINDAT repository, with the sentence-segmented and unsegmented variants additi

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EH23_020%2F0008518" target="_blank" >EH23_020/0008518: Jazykověda, umělá inteligence a jazykové a řečové technologie: od výzkumu k aplikacím</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

28th International Conference on Text, Speech and Dialogue (Part I)

ISBN

978-3-032-02548-7

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

299-308

Název nakladatele

Springer

Místo vydání

Cham, Switzerland

Místo konání akce

Erlangen, Germany

Datum konání akce

25. 8. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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