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This model is a finetuned version of the openai/whisper-large-v3 which was trained on 2 stages:

It was first trained on very weak annotated dataset djelia/bambara-audio / multi-combined config.
Then trained again on a relatively high quality dataset djelia/bambara-asr / multi-combined config. The model obtained a WER of 24% and a CER of 11.08% on test split of the djelia/bambara-asr.

This model is available in demo here: DEMO

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