mlsanityData to 7 Oct 2026

Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio

arXiv 2311.06285 ↗First posted 1 Nov 2023cs.CV cs.LG cs.SDcited by 6

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Abstract (arXiv)

While 3D human body modeling has received much attention in computer vision, modeling the acoustic equivalent, i.e. modeling 3D spatial audio produced by body motion and speech, has fallen short in the community. To close this gap, we present a model that can generate accurate 3D spatial audio for full human bodies. The system consumes, as input, audio signals from headset microphones and body pose, and produces, as output, a 3D sound field surrounding the transmitter's body, from which spatial audio can be rendered at any arbitrary position in the 3D space. We collect a first-of-its-kind multimodal dataset of human bodies, recorded with multiple cameras and a spherical array of 345 microphones. In an empirical evaluation, we demonstrate that our model can produce accurate body-induced sound fields when trained with a suitable loss. Dataset and code are available online.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 39 of its 52 references that are in the map. First posted on arXiv 1 Nov 2023.

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39 of 52 references.

References · 39

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27 more
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Citing papers per year: 2024: 2; 2025: 4.

6 papers.