Yangkhorn/qwen3-asr-khmer-transcribe-pro

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🎙️ Qwen3 ASR Khmer Transcribe Pro Colab

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This repository contains the full-stack Web UI and API deployment package designed to run Qwen3-ASR-0.6B-Khmer efficiently inside a GPU-enabled Colab & Kaggle Notebook.

🙏 Credits & Acknowledgements

This project builds upon the amazing open-source contributions of the original creators:

1. Khmer Fine-Tuned Model & Alignment:

   • Model: seanghay/Qwen3-ASR-0.6B-Khmer & seanghay/wav2vec2-base-khmer-phonetisaurus
   • Developer: Seanghay
   • Training Dataset: DDD-Cambodia/khmer-speech-dataset

2. Base Architecture & Foundation Model:

   • Model: Qwen/Qwen3-ASR-0.6B
   • Developer: Qwen Team (Alibaba Cloud) — Qwen3-ASR Repository

Citation

If you use this work or the underlying models, please cite the original authors below:

@misc{seanghay2026qwen3asrkhmer,
  title  = {Qwen3-ASR-0.6B-Khmer},
  author = {Seanghay},
  year   = {2026},
  howpublished = {\url{[https://huggingface.co/seanghay/Qwen3-ASR-0.6B-Khmer](https://huggingface.co/seanghay/Qwen3-ASR-0.6B-Khmer)}}
}

@article{Qwen3-ASR,
  title   = {Qwen3-ASR Technical Report},
  author  = {Xian Shi, Xiong Wang, Zhifang Guo, Yongqi Wang, Pei Zhang, Xinyu Zhang, Zishan Guo, Hongkun Hao, Yu Xi, Baosong Yang, Jin Xu, Jingren Zhou, Junyang Lin},
  journal = {arXiv preprint arXiv:2601.21337},
  year    = {2026}
}