Preprint
Aug 2026
myMediWhisper: Construction of Burmese Medical Speech Corpus and Whisper Fine-Tuning for Clinical Dialogue ASR
This work presents a Burmese medical speech recognition framework built on a high-quality 28-hour corpus recorded and validated by native speakers, and fine-tune Whisper models using full fine-tuning (FFT) and parameter-efficient fine-tuning (PEFT) with LoRA.
Ye Kyaw Thu, Y. Lin, Thura Aung et al.
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