---
license: mit
datasets:
- thennal/IMaSC
language:
- ml
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
library_name: transformers
---

## 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