2026
ACCENT-INVARIANT AUTOMATIC SPEECH RECOGNITION VIA SALIENCY-DRIVEN SPECTROGRAM MASKING
ICASSP 2026poster
Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR), yet they remain sensitive to accent and dialectal variations, resulting in elevated word error rates (WER) in linguistically diverse languages such as English and Persian. To address this challenge,…