Mixture of Phonetic Experts Based Low-Rank Adaptation of Conformer Models for Accented English Speech Recognition

MoPE-LoRA is a parameter-efficient adaptation framework for accented English speech recognition that uses a fixed set of six low-rank experts aligned with phonetic categories, achieving a 12.3% relative improvement over single LoRA in zero-shot evaluation on L2-ARCTIC.