  Do men and women perceive emotions differently? Popular convictions place
women as more emotionally perceptive than men. Empirical findings, however,
remain inconclusive. Most prior studies focus on visual modalities. In
addition, almost all of the studies are limited to experiments within
controlled environments. Generalizability and scalability of these studies has
not been sufficiently established. In this paper, we study the differences in
perception of emotion between genders from speech data in the wild, annotated
through crowdsourcing. While we limit ourselves to a single modality (i.e.
speech), our framework is applicable to studies of emotion perception from all
such loosely annotated data in general. Our paper addresses multiple serious
challenges related to making statistically viable conclusions from crowdsourced
data. Overall, the contributions of this paper are two fold: a reliable novel
framework for perceptual studies from crowdsourced data; and the demonstration
of statistically significant differences in speech-based emotion perception
between genders.
