2026
TOWARDS FAIR ASR FOR SECOND LANGUAGE SPEAKERS USING FAIRNESS PROMPTED FINETUNING
ICASSP 2026poster
In this work, we address the challenge of building fair English ASR systems for second-language speakers. Our analysis of widely used ASR models, Whisper and Seamless-M4T, reveals large fluctuations in word error rate (WER) across 26 accent groups, indicating significant fairness gaps. To mitigate t…