Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Urdu Speech Recognition

Fine-tuning OpenAI Whisper on Urdu speech data from Mozilla Common Voice.

Why

Urdu speech recognition is underserved compared to English and other high-resource languages. Whisper's multilingual pretraining gives a strong starting point — fine-tuning on Urdu-specific data should meaningfully reduce error rates.

Status

Planned — Year 3 of my BS.

Planned approach

  • Use Mozilla Common Voice Urdu (100+ hours of labeled speech)
  • Fine-tune whisper-small using HuggingFace's Seq2SeqTrainer
  • Measure Word Error Rate (WER) before and after fine-tuning
  • Deploy a working demo with Gradio on HuggingFace Spaces

Tech stack

Python, PyTorch, HuggingFace Transformers + Datasets, Gradio

Author

Salik Hussain — github.com/salikhussain71-code

License

MIT

About

Whisper fine-tuned on Mozilla Common Voice Urdu for automatic speech recognition

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors