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PhysicsSliders model learns physical controls for audio Foley generation

By PulseAugur Editorial · [1 sources] ·

Researchers have developed PhysicsSliders (PXS), a generative model for audio Foley generation that uses physical properties as intuitive controls. The model is trained on simulated contact sounds and can adjust parameters like hardness, size, speed, and damping to produce spectrally distinct outputs. PXS demonstrates high accuracy in following real-world targets, achieving a mean grouped Spearman correlation of 0.976 across various impact classes. AI

IMPACT This research could lead to more intuitive and controllable AI-powered tools for sound design and audio production.

RANK_REASON The cluster contains a research paper detailing a new generative model for audio Foley generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

PhysicsSliders model learns physical controls for audio Foley generation

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The cluster contains a research paper detailing a new generative model for audio Foley generation. [lever_c_demoted from research: ic=1 ai=1.0]
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High
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Peiwei Chang, Yongqiang Chen, Yuelan Cheng, Liting Gao, Yishun Lu, Li Zhang, Mark D. Plumbley, Philip J. B. Jackson, Wenwu Wang ·

    PhysicsSliders: Learning Physical Controls for Audio Foley Generation

    arXiv:2610.18597v1 Announce Type: cross Abstract: Physical properties provide intuitive controls for sounds made by interacting objects. The challenge is to make a generative model respond predictably to these controls, both individually and in combination. We present \method\ (P…

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