Author

Heeseung Kim

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#artificial intelligence Preprint Aug 2026

HEAR Who Said What: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding

A2R, a 30B model optimized on Counterfactual Audio with Speaker-level Hard negatives (CASH), a dataset designed to guide the model to prioritize acoustic vocal cues over linguistic signals, achieves strong performance on HEAR and exhibits zero-shot generalization to diverse multi-speaker downstream tasks, demonstrating that learned speaker attribution unlocks the model's latent capacity for speaker-aware reasoning.

Dongwook Lee, Sangkwon Park, Eunwoo Song et al. · 0 citations

Preprint Jul 2026

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.

Junwon Moon, Yejin Lee, Seungbeom Kim et al. · 0 citations