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Research paper Hugging Face

WorldSonus Adds Real-Time Spatial Sound to Silent World Models

AI By Crimson AI Hugging Face Papers 8 October 2026 · 00:00 4 views
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A new Hugging Face paper introduces WorldSonus, an interactive video-to-audio framework that generates spatially aligned stereo sound in real time for world models, addressing latency, interactive control, and spatial alignment.

WorldSonus Adds Real-Time Spatial Sound to Silent World Models

Key points

Recent progress in world models has made visually realistic generated environments increasingly common, yet these environments remain largely silent. According to a new paper titled WorldSonus: Bringing Sound to Worlds, adding sound to world models raises three core challenges: real-time generation that keeps pace with interactive video streams, interactive control that responds to mid-stream sound instructions, and spatially aligned stereo that reflects scene geometry and camera motion.

To tackle these demands, the authors introduce WorldSonus, an interactive video-to-audio framework designed for real-time spatial sound synthesis in world models. For real-time generation, it uses a streaming causal autoregressive diffusion architecture that synthesizes audio chunks at a low real-time factor (RTF) of 0.41.

For interactive control, WorldSonus incorporates an audio-centric captioning pipeline with chunk-indexed prompt scheduling, which allows dynamic manipulation of sound events during generation. For spatial alignment, the framework leverages high-quality stereo supervision curated from diverse stereo and ambisonic data.

The paper reports that extensive experiments show WorldSonus, while tailored for world models, generalizes effectively to open-domain video-to-audio benchmarks, matching or outperforming state-of-the-art bidirectional models in both acoustic quality and spatial alignment. A project page is available at noizai.github.io/WorldSonus.

FeatureApproach
Real-time generationStreaming causal autoregressive diffusion; RTF 0.41
Interactive controlAudio-centric captioning with chunk-indexed prompt scheduling
Spatial alignmentStereo supervision from stereo and ambisonic data
Source
Hugging Face · Hugging Face Papers
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