--- task_categories: - automatic-speech-recognition language: - fr license: cc-by-nc-4.0 --- ESLO audio dataset. More info [here](https://www.ortolang.fr/market/corpora/eslo) configs: - max30s: concatenates samples up to a duration of 30 seconds (keeps the order) - max10s: same with 10 seconds - single_samples (default) This script relies on the raw and unmodified data transcript files and audio files from the ESLO repository on Ortolag. It provides a handy interface with huggingface datasets library Licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Partage dans les Mêmes Conditions 4.0 International Dependencies: - ffmpeg: `sudo apt-get install ffmpeg` - ffmpeg-python: `pip install ffmpeg-python` ``` {'audio': {'array': array([-0.00250244, 0.00039673, 0.00326538, ..., 0.01953125, 0.02206421, 0.02304077]), 'path': None, 'sampling_rate': 16000}, 'end_timestamp': 8.939, 'file': 'ESLO1_INTPERS_437', 'overlap': False, 'sentence': "eh bien je voudrais vous demander d'abord en quoi consiste votre " 'entreprise ici ? exactement', 'speaker': 'spk1', 'start_timestamp': 0.954} ``` 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 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.