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Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

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arxiv 2310.11713 v1 pith:ID2LEUVH submitted 2023-10-18 cs.CV cs.SDeess.AS

Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

classification cs.CV cs.SDeess.AS
keywords separationsoundsinvisiblesoundvisibleaudio-visualavsa-sepscene-aware
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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