Seungyoun Shin — accepted AI-conference papers

2026

NO VERIFIABLE REWARD FOR PROSODY: TOWARD PREFERENCE-GUIDED PROSODY LEARNING IN TTS

Seungyoun Shin, Dongha Ahn, Jiwoo Kim, Sungwook Jeon

ICASSP 2026poster

Recent work reports gains in neural text-to-speech (TTS) with Group Relative Policy Optimization (GRPO). However, in the absence of a verifiable reward for \textit{prosody}, GRPO trained on transcription-oriented signals (CER/NLL) lowers error rates yet collapses prosody into monotone, unnatural spe…

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2024

Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematic (MASK)

Jeongeun Park, Taemoon Jeong, Hyeonseong Kim, Taehyun Byun, Seungyoun Shin, Keunjun Choi +4

RA-L 2024

This letter presents the design and development of an innovative interactive robotic system to enhance audience engagement using character-like personas. Built upon the foundations of persona-driven dialog agents, this work extends the agent's application to the physical realm, employing robots to p

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