Vocal data in the Dioula language related to the numbers 1, 2, 3, and 4

The dataset we have compiled for our research on "Setting up a speech recognition model for under-resourced languages" consists of audio recordings of Dioula speakers pronouncing the numbers 1, 2, 3, and 4. These recordings were collected under various conditions, featuring variability in speakers, accents, and environmental contexts. The data has been categorized into four distinct classes, each corresponding to one of the numbers (1, 2, 3, or 4), enabling the training and evaluation of a machine learning-based speech recognition model.

Related Organizations

University of Bordeaux
France
Nazi Boni University
Burkina Faso

Keywords

Bambara, number, three, Dioula, audio, two, speech recognition, one, four

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