Sooyoung Park

2 accepted papers

2026

How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization?

Arda Senocak, Sooyoung Park, Tae-Hyun Oh, Joon Son Chung

CVPR 2026

We present the first scalable framework for training sound source localization (SSL) models using synthetic data from text-to-X models. Although SSL has made notable progress, existing models remain constrained by limited-scale, uncurated real-world datasets that often suffer from semantic misalignm

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2023

MarginNCE: Robust Sound Localization with a Negative Margin

Sooyoung Park, Arda Senocak, Joon Son Chung

ICASSP 2023accepted

The goal of this work is to localize sound sources in visual scenes with a self-supervised approach. Contrastive learning in the context of sound source localization leverages the natural correspondence between audio and visual signals where the audio-visual pairs from the same source are assumed as…

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