S. Kim

Location-Aware Mixture-of-Experts Framework for Adaptive Speech Enhancement

Speech enhancement models often struggle to adapt to heterogeneous and ambiguous noise conditions. This paper proposes a location-aware mixture-of-experts framework that jointly uses acoustic observations and categorical location context for adaptive speech enhancement. A gating network estimates continuous expert weig...