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---
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language:
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- pse
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A Besemah Wav2Vec2 model. This model is created by fine-tuning the multilingual [XLS-R](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model on Besemah speech.
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This model is part of the paper: Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation.
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More information on [GitHub](https://github.com/Bartelds/asr-augmentation).
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