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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Finetuned openai/whisper-large-v3-turbo 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): 78.843
- Word Error Rate (Orthographic): 107.027
- Character Error Rate (Normalized): 62.521
- Character Error Rate (Orthographic): 72.012
- Loss: 1.074
Finetuned model (after finetuning) on Bengali
- Word Error Rate (Normalized): 11.053
- Word Error Rate (Orthographic): 26.436
- Character Error Rate (Normalized): 6.059
- Character Error Rate (Orthographic): 7.537
- Loss: 0.109
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Model tree for mozilla-ai/whisper-large-v3-turbo-bn
Base model
openai/whisper-large-v3
Finetuned
openai/whisper-large-v3-turbo