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NUTN-KWS/Whisper-Taiwanese-Hakka-model-v0.2.6

sourceHugging Facecc-by-nc-4.0updated 6mo agoView on Hugging Face
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[英文 README_EN.md ]

👳 Whisper-Taiwanese-Hakka model V0.2.6

這個模型是由國立臺南大學執行國科會產學合作計畫，使用 openai/whisper-large-v3-turbo 微調的版本，並執行國科會TAIDE台英語家庭先導計畫，與真平出版社合作，使用中小學教材內容、優聲學工具生成客語語音及學生學習資料進行模型微調，用於真平教材客語辨識。並與國研院國網中心合作，運用國網中心算力以及TAIDE模型，共同建構中小學台英客語AI學習模型。

示範網址: https://kws.oaselab.org/taigitong/hakka

📝 Model Details

  • —Base Model: openai/whisper-large-v3-turbo
  • —Fine-tuned for: 台灣客家語語音辨識 (ASR)
  • —Fine-tuning Framework: Hugging Face Transformers
  • —Training Duration: 使用兩片 V100，大約 180 小時
  • —Dataset: 自訂資料集、合成語料，大約 1700 小時的資料
  • —Input Format: 16kHz mono WAV
  • —License: CC BY-NC 4.0

🚀 Usage

安裝套件:

bash
pip install torch torchvision torchaudio transformers

執行範例:

python
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="./model/whisper-taiwanese-hakka", device=0)
result = pipe("audio.wav", generate_kwargs={"language": "zh", "task": "transcribe"})
print(result["text"])

👨‍🎓 Citation

BibTeX:

bibtex
@misc{taiwanesehakkawhisperasr2026,
  title={Taiwanese Hakka ASR},
  author={KWS Center, National University of Tainan, Taiwan},
  year={2026},
  url={https://huggingface.co/NUTN-KWS/Whisper-Taiwanese-Hakka-model-v0.2.6}
}

APA:

  • —C. S. Lee, M. H. Wang, C. Y. Yue, S. C. Yang, Y. Nojima, N. Masuyama, T. Konishi, and R. Saga, "Fuzzy Inference–Driven Knowledge Modeling for LLM-Assisted Human–Machine Co-Learning," 2026 IEEE World Congress on Computational Intelligence (IEEE WCCI 2026), June, 2026.
  • —C. S. Lee, M. H. Wang, C. C. Yue, G. Y. Teseng, and Y. Nojima, "Fuzzy Estimation Agent with Knowledge Graph and Quantum Fuzzy Inference Engine for Taiwanese-English Co-Learning," 2025 IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS 2025), Banff, Alberta, Canada, Aug. 16-19, 2025.
  • —C. S. Lee, M. H. Wang, C. Y. Chen, S. C. Yang, M. Reformat, N. Kubota, and A. Pourabdollah, "Integrating quantum CI and generative AI for Taiwanese/English co-learning," Quantum Machine Intelligence, vol. 6, 64, pp. 1-19, 2024.
  • —C. S. Lee, M. H. Wang, C. Y. Chen, S. C. Yang, M. Reformat, N. Kubota, and A. Pourabdollah, "Quantum fuzzy inference engine with generative AI and TAIDE KG for Taiwanese/English co-learning," 2025 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2025), Reims, France, Jul. 6-9, 2025.