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arXiv · 2310.11713

Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

Yiyang Su·Ali Vosoughi·Shijian Deng·Yapeng Tian·Chenliang Xu
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Abstract

The audio-visual sound separation field assumes visible sources in videos, but this excludes invisible sounds beyond the camera's view. Current methods struggle with such sounds lacking visible cues. This paper introduces a novel "Audio-Visual Scene-Aware Separation" (AVSA-Sep) framework. It includes a semantic parser for visible and invisible sounds and a separator for scene-informed separation. AVSA-Sep successfully separates both sound types, with joint training and cross-modal alignment enhancing effectiveness.

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Yiyang Su, Ali Vosoughi, Shijian Deng, Yapeng Tian, Chenliang Xu. 2023-10-18. Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation. https://arxiv.org/abs/2310.11713

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