ParCzech4Speech 1.0
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10513472" target="_blank" >RIV/00216208:11320/25:10513472 - isvavai.cz</a>
Výsledek na webu
<a href="https://hdl.handle.net/11234/1-5946" target="_blank" >https://hdl.handle.net/11234/1-5946</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
ParCzech4Speech 1.0
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 hours of aligned speech from 587 speakers. 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. 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. Note: This release contains alignment data and text segments (official and recognized transcripts). The source audio must be obtained separately from the AudioPSP 24.01 corpus , using the 'filePath' column to locate the corresponding audio file and the 'start'/ 'end' timestamps to extract specific segment
Název v anglickém jazyce
ParCzech4Speech 1.0
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 hours of aligned speech from 587 speakers. 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. 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. Note: This release contains alignment data and text segments (official and recognized transcripts). The source audio must be obtained separately from the AudioPSP 24.01 corpus , using the 'filePath' column to locate the corresponding audio file and the 'start'/ 'end' timestamps to extract specific segment
Klasifikace
Druh
X - Nezařazeno
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)
Návaznosti výsledku
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
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů