Common Voice Whisper
Collection
Whisper models finetuned on the Common Voice dataset using https://github.com/mozilla-ai/speech-to-text-finetune
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8 items
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Updated
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2
Finetuned openai/whisper-large-v3 on 21409 Bengali training audio samples from cv-corpus-21.0-2025-03-14/bn.
This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
Evaluation results on 9363 audio samples of Bengali:
Baseline model (before finetuning) on Bengali
- Word Error Rate (Normalized): 55.463
- Word Error Rate (Orthographic): 83.344
- Character Error Rate (Normalized): 35.66
- Character Error Rate (Orthographic): 40.754
- Loss: 0.567
Finetuned model (after finetuning) on Bengali
- Word Error Rate (Normalized): 9.651
- Word Error Rate (Orthographic): 24.288
- Character Error Rate (Normalized): 4.876
- Character Error Rate (Orthographic): 6.312
- Loss: 0.092
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Base model
openai/whisper-large-v3