Malwhisper-v1-small
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.
Training
GPUs used: T4 - 16 GB
Training Time: 14 hours
Evaluation
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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