Can you hear me $\textit{now}$? Sensitive comparisons of human and machine perception. (arXiv:2003.12362v2 [eess.AS] UPDATED)

The rise of machine-learning systems that process sensory input has brought
with it a rise in comparisons between human and machine perception. But such
comparisons face a challenge: Whereas machine perception of some stimulus can
often be probed through direct and explicit measures, much of human perceptual
knowledge is latent, incomplete, or unavailable for explicit report. Here, we
explore how this asymmetry can cause such comparisons to misestimate the
overlap in human and machine perception. As a case study, we …

arxiv human human and machine machine machine perception perception