June Young Yi — accepted AI-conference papers

2026

Robust TTS Training via Self-Purifying Flow Matching for the WildSpoof 2026 TTS Track

ICASSP 2026poster

This paper presents a lightweight text-to-speech (TTS) system developed for the WildSpoof Challenge TTS Track. Our approach fine-tunes the recently released open-weight TTS model, \textit{Supertonic}\footnote{\url{https://github.com/supertone-inc/supertonic}}, with Self-Purifying Flow Matching (SPFM…

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2025

SAO-Instruct: Free-form Audio Editing using Natural Language Instructions

Michael Ungersböck, Florian Grötschla, Luca A Lanzendörfer, June Young Yi, Changho Choi, Roger Wattenhofer

NeurIPS 2025poster

Generative models have made significant progress in synthesizing high-fidelity audio from short textual descriptions. However, editing existing audio using natural language has remained largely underexplored. Current approaches either require the complete description of the edited audio or are const…

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