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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) fine-tuned on [IMASc dataset](https://www.kaggle.com/datasets/thennal/imasc).
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IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech. The corpus contains 34,473 text-audio pairs of Malayalam sentences spoken by 8 speakers, totalling in approximately 50 hours of audio.
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The fine-tuned model on evaluating in the following dataset:
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**In Mozilla CommonVoice 11.0 dataset (Malayalam subset):**
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) fine-tuned on [IMASc dataset](https://www.kaggle.com/datasets/thennal/imasc).
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## About Dataset
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IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech. The corpus contains 34,473 text-audio pairs of Malayalam sentences spoken by 8 speakers, totalling in approximately 50 hours of audio.
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## Training
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- GPUs used: T4 - 16 GB
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- Training Time: 14 hours
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## Evaluation
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The fine-tuned model on evaluating in the following dataset:
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**In Mozilla CommonVoice 11.0 dataset (Malayalam subset):**
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