burkimbia/audio-dataset-aggregated

Data Fields

The dataset includes the following fields:

audio: Audio file containing the spoken Bible passage (48kHz sampling rate) full_text: Complete transcription of the audio passage in Bambara duration: Length of the audio clip in seconds

Usage

1. Speech Recognition: Training ASR models for Moore
2. Text-to-Speech: Development of TTS systems for Moore
3. Speech Analysis: Studying prosody and phonetics of Moore
4. Recherche linguistique : Analyse approfondie des structures syntaxiques, lexicales et phonétiques spécifiques au Mooré, pour enrichir les études linguistiques.

Loading the Dataset

from datasets import load_dataset, DownloadConfig
dataset = load_dataset("burkimbia/audio-dataset-aggregated", split="train", download_config=DownloadConfig(token=os.environ["HF_TOKEN"]))

Additional Information

• Source: https://www.jw.org/mos/d-s%E1%BA%BDn-yiisi/biible/nwt/books/
• Prepared by: @sawadogosalif at Burkimb-IA
• Total Duration: 13 hours
• Audio Format: mp3 files sampled at 48kHz
• Language: Moore

Source Pipleines

4. verbatim : https://github.com/sawadogosalif/audio_processing_playground/actions/runs/14005073586/job/39217866279
5. aggregation of verbatim : https://github.com/sawadogosalif/audio_processing_playground/actions/runs/14011418513
6. road to lightness : https://github.com/sawadogosalif/audio_processing_playground/actions/runs/14012768295/job/39234622881
7. execute contribution : https://github.com/sawadogosalif/audio_processing_playground/actions/runs/14010966591/job/39230701262
8. Append light dataset of (3) with dataset of (4)