Melissa Farasyn

GLORIA: GATED LOW-RANK INTERPRETABLE ADAPTATION FOR DIALECTAL ASR

Automatic Speech Recognition (ASR) in dialect-heavy settings remains challenging due to strong regional variation and limited labeled data. We propose GLoRIA, a parameter-efficient adaptation framework that leverages metadata (e.g., coordinates) to modulate low-rank updates in a pre-trained encoder.…