A Besemah Wav2Vec2 model. This model is created by fine-tuning the multilingual XLS-R model on Besemah speech.
This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. More information on GitHub.
