Deep learning models currently achieve human levels of performance on real-world face
recognition tasks. We review scientific progress in understanding human face processing …

Face perception is crucial to social interactions, yet people vary in how easily they can
recognize their friends, verify an identification document or notice someone's smile. There …

Research on face learning has tended to use sets of images that vary systematically on
dimensions such as pose and illumination. In contrast, we have proposed that exposure to …

Human voices are extremely variable: The same person can sound very different depending
on whether they are speaking, laughing, shouting or whispering. In order to successfully …

It has been known for many years that identifying familiar faces is much easier than
identifying unfamiliar faces, and that this familiar face advantage persists across a range of …

Face recognition is thought to rely on representations that encode holistic properties.
Paradoxically, professional forensic examiners who identify unfamiliar faces by comparing …

Humans spontaneously attribute a wide range of traits to strangers based solely on their
facial features. These first impressions are known to exert striking effects on our choices and …

Little is known about the nature or extent of everyday variability in voice quality. This paper
describes a series of principal component analyses to explore within-and between-talker …

Our voices sound different depending on the context (laughing vs. talking to a child vs.
giving a speech), making within‐person variability an inherent feature of human voices …

The representation of familiar objects is comprised of perceptual information about their
visual properties as well as the conceptual knowledge that we have about them. What is the …