Hubert Large Arabic Egyptian

🚀 Arabic Hubert-Large - with CTC fine-tuned on MGB-3 and Egyptian Arabic Conversational Speech Corpus (No LM)

This model is a fine - tuned version of Arabic Hubert - Large, achieving state - of - the - art results for Egyptian Arabic speech recognition.

🚀 Quick Start

This model is a fine - tuned version of Arabic Hubert - Large. We finetuned this model on the MGB - 3 and Egyptian Arabic Conversational Speech Corpus datasets, achieving a state of the art for Egyptian Arabic with WER of 25.9%.

The original model was pre - trained on 2,000 hours of 16kHz sampled Arabic speech audio. When using the model, make sure that your speech input is also sampled at 16Khz. See the original paper for more details on the model.

✨ Features

• Pipeline Tag: Automatic Speech Recognition
• Techniques Used: CTC, Attention, Transformer
• Framework: PyTorch

📚 Documentation

Model Performance

The performance of the model on the datasets is as follows:

Model Index

• Model Name: omarxadel/hubert - large - arabic - egyptian
• Results:
  • Task:
    • Name: Automatic Speech Recognition
    • Type: automatic - speech - recognition
  • Metrics:
    • Name: Test WER
    • Type: wer
    • Value: 25.9
    • Name: Validation WER
    • Type: wer
    • Value: 23.5

Datasets

• MGB - 3
• egyptian - arabic - conversational - speech - corpus

Metrics

• wer

📄 License

This model is licensed under "cc - by - nc - 4.0".

Acknowledgement

Model fine - tuning and data processing for this work were performed as a part of a Graduation Project from Faculty of Engineering, Alexandria University, CCE Program.