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WorldSonus: Bringing Sound to Worlds

arXiv cs.AI / cs.LG / cs.CLby Pengjun Fang ()1 min read2 · 1 read
AI summary · grok-4.7Summaries by Vani AI

WorldSonus adds real-time, controllable spatial stereo audio to interactive world-model video streams.

WorldSonus is an interactive video-to-audio framework for adding real-time spatial sound to world models. It uses a streaming causal autoregressive diffusion model that generates audio chunks at a real-time factor of 0.41, with chunk-indexed prompt scheduling for mid-generation sound control. Stereo supervision from stereo and ambisonic data keeps audio aligned with scene geometry and camera motion. The authors report that it matches or outperforms state-of-the-art bidirectional models on open-domain video-to-audio benchmarks for acoustic quality and spatial alignment.

Key facts
  • Streaming causal autoregressive diffusion synthesizes audio at RTF 0.41.
  • Chunk-indexed prompts allow mid-stream control of sound events.
  • Stereo and ambisonic supervision align audio with scene geometry and camera motion.
  • Matches or beats bidirectional video-to-audio models on open-domain benchmarks.
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From the original article

1 min read at arxiv.org

Recent advances in world models have enabled increasingly realistic visual synthesis. However, these generated environments remain largely silent. Bringing sound to world models poses three core challenges: real-time generation to keep pace with interactive video streams, interactive control to respond to mid-stream sound instructions, and spatially aligned stereo to reflect scene geometry and camera motion.

arXiv cs.AI / cs.LG / cs.CL

By Pengjun Fang · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.