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smcproject/Malwhisper-v1-small
Malwhisper-v1-small is a automatic speech recognition model from smcproject. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of openai/whisper-small fine-tuned on IMASc dataset.
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From the Hugging Face model README
This model is a fine-tuned version of openai/whisper-small fine-tuned on IMASc 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