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cs.SD2026
Probing Spatial Structure in Pretrained Audio Representations
Chuyang Chen, Sivan Ding, Adrian S. Roman +1
Pretrained spatial audio encoders are increasingly used as general-purpose representations for perceptual tasks, yet their spatial encoding capabilities remain poorly understood. W…
eess.AS2026
Sensitivity Analysis of Generative Spatial Audio Metrics: A Study on Responsiveness, Smoothness, and Symmetry
Purnima Kamath, Adrian S. Roman, Koichi Saito +2
Evaluating generative spatial audio for First-Order Ambisonics (FOA) remains challenging due to a limited understanding of how metrics respond to changes in spatial parameters such…
cs.SD2026
Evaluating Compositional Structure in Audio Representations
Chuyang Chen, Bea Steers, Brian McFee +1
We propose a benchmark for evaluating compositionality in audio representations. Audio compositionality refers to representing sound scenes in terms of constituent sources and attr…