Generative model samples realistic impact sounds from measured object acoustics
McDermott's team fit a probabilistic generative model to large-scale acoustic measurements of hundreds of everyday objects, enabling realistic impact-sound synthesis from physical variables, and ran experiments testing how listeners infer ball mass across same and different surfaces.
2026-11-10 ~ 2026-11-10 · 2 related posts
- Episode 1: MIT PNAS paper: humans infer physical properties from impact sounds using internalized object acoustics(2026-11-10, 8 posts)
- Episode 2: MIT measures impulse responses of hundreds of everyday objects(2026-11-10, 2 posts)
- Episode 3: Generative model samples realistic impact sounds from measured object acoustics(2026-11-10, 2 posts)
- Episode 4: Human hearing relies on real-world sound statistics for physical inference, study finds(2026-11-10, 2 posts)
- Episode 5: MIT releases decade-long project's impact-sound data and models(2026-11-10, 2 posts)
- Large-scale object acoustics used to fit generative models of impact sounds — JoshHMcDermott · 2026-11-10
- Mass discrimination experiments probe use of resonance statistics across surfaces — JoshHMcDermott · 2026-11-10