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This model is a fine-tuned version of openai/whisper-small fine-tuned on IMASc dataset.

About Dataset

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.


  • GPUs used: T4 - 16 GB

  • Training Time: 14 hours


The fine-tuned model on evaluating in the following dataset:

In SMC Malayalam Speech Corpus dataset:

WER - 73.56

CER - 17.82

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Dataset used to train smcproject/Malwhisper-v1-small

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