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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.

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