Ryul Kim

LoRA-MoE Fine-Tuning for Improved Speech Recognition in People With Parkinson’s Disease

LoRA-MoE, a parameter-efficient adaptation method that combines Low-Rank Adaptation with a mixture of experts (MoE) to improve speech recognition for individuals with Parkinson’s disease (PD), demonstrates consistent improvements and stable performance across all severity levels, and its performance is robust to the number of experts.