Hoseong Ahn

DELTA-TTS: Adapting Autoregressive Model into Diffusion Language Model for Text-to-Speech

DELTA-TTS is introduced, a lightweight LoRA-based adaptation framework that converts a pretrained AR TTS model into a discrete diffusion language model (dLLM) for confidence-ordered speech-token decoding and produces sharper text--speech alignment, increases overall decoding confidence, and mitigates the hallucinations observed in AR generation.