Tomás Arias-Vergara

Understanding Multilingual Medical ASR Adaptation Through Layer-Wise Analysis

This paper investigates how multilingual medical adaptation reshapes the internal representations of Whisper models through layer-wise encoder analysis, and shows that English medical fine-tuning produces the dominant encoder shift, whereas multilingual continuation largely preserves the adapted representation space.