2026
SYNTHETIC DATA DOMAIN ADAPTATION FOR ASR VIA LLM-BASED TEXT AND PHONETIC RESPELLING AUGMENTATION
ICASSP 2026oral
End-to-end automatic speech recognition often degrades on domain-specific data due to scarce in-domain resources. We propose a synthetic-data-based domain adaptation framework with two contributions: (1) a large language model (LLM)-based text augmentation pipeline with a filtering strategy that bal…