Sonic-AMG: Streaming Human Motion Generation from Spatial Au
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Sonic-AM, Streaming Human Motion Generation from Spatial Audio. This paper presents Sonic-AMG, a framework for generating human motion in real-time from spatial audio. The model encodes acoustic content and body-relative source geometry as separate tokens, using a causal transformer …
Generated from attributed reports · Updated 2 hours ago
Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
No current evidence-backed claims. Missing information remains not reported.
Report timeline
Follow attributed reports and material updates.
- arXiv Robotics — research abstractsSonic-AM, Streaming Human Motion Generation from Spatial Audio
This paper presents Sonic-AMG, a framework for generating human motion in real-time from spatial audio. The model encodes acoustic content and body-relative source geometry as separate tokens, using a causal transformer with a flow head to generate motion latents. It introduces rehearsal training and spatial feedback to address training-inference mismatches, achieving state-of-the-art results on the SAM benchmark.
Event coverage history
There is not enough continuous observation data to show a trend.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).