Yoonjae Jeong — accepted AI-conference papers

2025

AudioGenX: Explainability on Text-to-Audio Generative Models

Hyunju Kang, Geonhee Han, Yoonjae Jeong, Hogun Park

AAAI 2025technical

Text-to-audio generation models (TAG) have achieved significant advances in generating audio conditioned on text descriptions. However, a critical challenge lies in the lack of transparency regarding how each textual input impacts the generated audio. To address this issue, we introduce AudioGenX, a…

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2020

Detecting Mismatch Between Text Script and Voice-Over Using Utterance Verification Based on Phoneme Recognition Ranking

Yoonjae Jeong, Hoon-Young Cho

ICASSP 2020accepted

The purpose of this study is to detect the mismatch between text script and voice-over. For this, we present a novel utterance verification (UV) method, which calculates the degree of correspondence between a voice-over and the phoneme sequence of a script. We found that the phoneme recognition prob…

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