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Kyuhong Shim

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Preprint Oct 2026

KOMOS: Automatic Mean Opinion Score Estimation for Korean Speech

As speech generation and real-time spoken dialogue systems advance, neural mean opinion score (MOS) predictors are increasingly used to evaluate speech quality. However, many existing predictors are trained primarily on English read speech and generalize inconsistently across languages and speaking styles. In particula...

Sangchun Ha, Junwon Moon, Kyuhong Shim · 0 citations
#artificial intelligence Preprint Sep 2026

Acoustic-to-Text KV Compression for Full-Duplex Speech Models

An acoustic-to-text KV compression, which introduces a transcription side channel to convert incoming speech into compact textual memory within this interval, which reduces peak streaming KV-cache size and improves transcription, temporal question answering, and summarization over the baseline.

Ye-Jin Lee, Seungbeom Kim, Yong-Ha Lee et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Forget who you Forgot: Speaker Unlearning to Prevent Re-Identification in Zero-Shot Text-to-Speech

GUARD is proposed, a lightweight speaker identity unlearning framework that combines a learned speaker gate with speaker-agnostic activation steering on a frozen TTS backbone that demonstrates that similarity reduction alone may not fully characterize successful speaker identity unlearning and highlights re-identificat...

Hyoeun Kim, Y. Lee, Kyuhong Shim · 0 citations
#natural language process... 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...

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

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