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--- |
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task_categories: |
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- automatic-speech-recognition |
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language: |
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- fr |
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license: cc-by-nc-4.0 |
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--- |
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ESLO audio dataset. |
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More info [here](https://www.ortolang.fr/market/corpora/eslo) |
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configs: |
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- max30s: concatenates samples up to a duration of 30 seconds (keeps the order) |
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- max10s: same with 10 seconds |
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- single_samples (default) |
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This script relies on the raw and unmodified data transcript files and audio files from the ESLO repository on Ortolag. |
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It provides a handy interface with huggingface datasets library |
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Licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International |
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Dependencies: |
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- ffmpeg: `sudo apt-get install ffmpeg` |
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- ffmpeg-python: `pip install ffmpeg-python` |
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``` |
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{'audio': {'array': array([-0.00250244, 0.00039673, 0.00326538, ..., 0.01953125, |
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0.02206421, 0.02304077]), |
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'path': None, |
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'sampling_rate': 16000}, |
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'end_timestamp': 8.939, |
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'file': 'ESLO1_INTPERS_437', |
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'overlap': False, |
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'sentence': "eh bien je voudrais vous demander d'abord en quoi consiste votre " |
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'entreprise ici ? exactement', |
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'speaker': 'spk1', |
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'start_timestamp': 0.954} |
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|
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``` |
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Eshkol-Taravella I., Baude O., Maurel D., Hriba L., Dugua C., Tellier I., (2012), Un grand corpus oral « disponible » : le corpus d’Orléans 1968-2012., in Ressources linguistiques libres, TAL. Volume 52 – n° 3/2011, 17-46 |
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Laboratoire Ligérien de Linguistique - UMR 7270 (LLL) (2023). ESLO [Corpus]. ORTOLANG (Open Resources and TOols for LANGuage) - www.ortolang.fr, v1, https://hdl.handle.net/11403/eslo/v1. |
