Datasets:
Bible Bambara Audio Dataset
Overview
This dataset contains audio recordings of Bible passages in Bambara language along with their transcriptions. The dataset consists of approximately 42.7 hours of audio content, making it a valuable resource for speech processing tasks in Bambara language.
Project
This dataset is part of a larger initiative to preserve and digitize audio & texts in Bambara language, making them accessible in both text and audio formats. The audio recordings provide high-quality readings of biblical texts, offering a resource for both linguistic research and accessibility purposes.
Bambara Language
Bambara (Bamanankan) is a Mande language spoken primarily in Mali by millions of people as both a first and second language. It serves as a lingua franca in Mali and is also spoken in neighboring countries (Burkina Faso, Ivory Coast, etc.). Bambara is written in both Latin script and N'Ko script, and has a rich oral tradition integral to Malian culture.
Dataset Structure
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
- speech_with_music: Boolean indicating whether the audio contains background music
- duration: Length of the audio clip in seconds
- verses: A sequence of verse objects containing:
- verse_id: Identifier of the verse
- text: Text content of the individual verse
Usage
This dataset can be used for various speech technology applications:
- Speech Recognition: Training ASR models for Bambara
- Text-to-Speech: Development of TTS systems for Bambara
- Speech Analysis: Studying prosody and phonetics of Bambara
Loading the Dataset
from datasets import load_dataset
dataset = load_dataset("djelia/bible-bambara-audio", "raw")
Dataset Creation
The audio recordings and transcriptions were collected from Bible.is website.
Additional Information
- Source: https://live.bible.is/bible/BAMLSB/DEU/1
- Curated by: @oza75 at Djelia
- Total Duration: 42.67 hours
- Audio Format: WAV files sampled at 48kHz
- Language: Bambara
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