Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West Frisian

In three linesStudy on LLM-based error correction for low-resource Frisian ASR. GPT models improve WER performance, including on offline dataset controlling for data contamination. Detailed error analysis reveals model correction patterns.

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