Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 37 of its 56 references that are in the map. First posted on arXiv 18 Oct 2023.
Builds on
37 of 56 references.
References · 37
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25 more
- 2020Music Gesture for Visual Sound Separationcited by 112
- 2019Co-Separating Sounds of Visual Objectscited by 110
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- 2022Vision Transformers are Parameter-Efficient Audio-Visual Learnerscited by 72
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- 2021ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learningcited by 50
- 2022Separate What You Describe: Language-Queried Audio Source Separationcited by 45
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- 2021Self-supervised object detection from audio-visual correspondencecited by 29
- 2021Visual Scene Graphs for Audio Source Separationcited by 29
- 2022Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsingcited by 29
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- 2022Learning State-Aware Visual Representations from Audible Interactionscited by 23
- 2023Language-Guided Audio-Visual Source Separation via Trimodal Consistencycited by 20
- 2022Temporal and cross-modal attention for audio-visual zero-shot learningcited by 19
- 2022Active Audio-Visual Separation of Dynamic Sound Sourcescited by 16
- 2020Visually Guided Sound Source Separation using Cascaded Opponent Filter Networkcited by 15
- 2022VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformercited by 14
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- 2022Sound and Visual Representation Learning with Multiple Pretraining Taskscited by 5
Built on by
Citing papers per year: 2024: 2; 2025: 2.
4 papers.
- 2024Continual Audio-Visual Sound Separationcited by 7
- 2024Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognitioncited by 5
- 2025Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Modelcited by 2
- 2025MARS-Sep: Multimodal-Aligned Reinforced Sound Separationcited by 1
- 2025MARS-Sep: Multimodal-Aligned Reinforced Sound Separation12 Oct 2025
- 2025Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model12 Mar 2025
- 2024Continual Audio-Visual Sound Separation5 Nov 2024
- 2024Hear Me, See Me, Understand Me: Audio-Visual Autism Behavior Recognition22 Mar 2024