
## Malwhisper-v1-small

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) fine-tuned on [IMASc dataset](https://www.kaggle.com/datasets/thennal/imasc). 

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.

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

**In Mozilla CommonVoice 11.0 dataset (Malayalam subset):**

WER - 23.69

CER - 12.17

**In SMC Malayalam Speech Corpus dataset:**

WER - 23.8

CER - 12.63
{"language": ["ml"], "license": "mit", "library_name": "transformers", "datasets": ["thennal/IMaSC"], "model-index": [{"name": "Malwhisper-v1-medium - Kurian Benoy", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Common Voice 11.0", "type": "mozilla-foundation/common_voice_11_0", "config": "ml", "split": "test", "args": "ml"}, "metrics": [{"type": "wer", "value": 23.69, "name": "WER"}, {"type": "cer", "value": 12.17, "name": "CER"}]}]}]}
transformers safetensors whisper automatic-speech-recognition ml dataset:thennal/IMaSC license:mit model-index endpoints_compatible region:us