I am interested in understanding how the human brain processes complex sensory signals such as speech and visual scences, at both sensory and cognitive levels. Based on an interdisciplinary approach combining signal-processing techniques, neurophysiology, psychophysics and computational modeling, my goal is to provide a clear mechanistic account of various perceptual processes.
A video made by CNRS Images explaining the approach taken in our recent paper to uncover the social code of speech prosody.
To do this study, we developed a new audio software based on different voice-processing algorithms to deploy psychophysical reverse-correlation methods in the space of speech prosody, thus providing a principle way to assess the exact mental representation of any emotional or social trait in speech. Using this software, we have been able to demonstrate the existence of robust and shared mental representations of trustworthiness and dominance of a speaker’s voice.