Automatic Speech Recognition
PEFT
Safetensors
Tibetan
tibetan
low-resource
whisper
lora
Eval Results (legacy)
Instructions to use billingsmoore/tibetan-asr-nict-tib1-whisper-tiny-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use billingsmoore/tibetan-asr-nict-tib1-whisper-tiny-lora with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
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README.md
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If you use this model, please cite the paper and the source NICT-Tib1 corpus:
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```bibtex
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@ARTICLE{
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author={Moore, Jacob and Li, Sheng and Lauren, Paula},
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journal={IEEE Access},
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title={Evaluating Tibetan
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year={2026},
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volume={14},
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pages={101790-101805},
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doi={10.1109/ACCESS.2026.3709206}
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}
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If you use this model, please cite the paper and the source NICT-Tib1 corpus:
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```bibtex
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@ARTICLE{11592371,
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author={Moore, Jacob and Li, Sheng and Lauren, Paula},
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journal={IEEE Access},
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title={Evaluating Tibetan ASR With Segmented Word Error Rate: Beyond Character-Level Metrics},
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year={2026},
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volume={14},
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number={},
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pages={101790-101805},
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keywords={Modeling;Automatic speech recognition;Error analysis;LoRa;Measurement;Ranking (statistics);Quantization (signal);Bit error rate;Standards;Training;Tibetan;automatic speech recognition;word error rate;low-resource language},
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doi={10.1109/ACCESS.2026.3709206}
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}
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