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arabic-speech-recognition

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The official submission from Speech Squad team for the MTC-AIC 2 competition of 2024 where an ASR model is developed tailored for the Egyptian dialect, utilizing the FastConformer architecture. Our four-stage training pipeline achieved a Mean Levenshtein Distance score of 9.58 on the test set.

  • Updated Mar 9, 2026
  • Jupyter Notebook

QwenCleo-ASR is the currently State-Of-The-Art (SOTA) open-source model for Egyptian Arabic & code-switching speech recognition Built on Qwen3-ASR-1.7B, fine-tuned for Egyptian dialect and Arabic ↔ English code-switching.

  • Updated Jun 17, 2026
  • Python

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