Jiaen Sun

De-Speakerizing Accented ASR: Measuring and Mitigating Speaker Entanglement for Fair, Reliable Recognition

This research statement proposes to measure and mitigate speaker entanglement, where accent features inadvertently encode who is speaking in accented automatic speech recognition (ASR). We argue that entanglement inflates scores under lenient split for the same speaker and worsens fairness gaps acro