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Emmanuel Ponsot

Laboratoire des Systèmes Perceptifs

Post-doc
Poste
Chercheur Post-doctorant

29 rue d'Ulm

75005 Paris France

 

Laboratory
LSP
Team
Vision
Selected publications
International Journal article  

Ponsot, E., Burred, J., Belin, P. & Aucouturier, J. (2018). Cracking the social code of speech prosody using reverse correlation. Proceedings of the National Academy of Sciences of the United States of America, 115(15), 3972-3977. doi:10.1073/pnas.1716090115

International Journal article  

Ponsot, E., Arias, P. & Aucouturier, J. (2018). Uncovering mental representations of smiled speech using reverse correlation. The Journal of the Acoustical Society of America, 143(1), EL19. doi:10.1121/1.5020989

International Journal article  

Ponsot, E., Susini, P. & Meunier, S. (2017). Global loudness of rising- and falling-intensity tones: How temporal profile characteristics shape overall judgments. The Journal of the Acoustical Society of America, 142(1), 256. doi:10.1121/1.4991901

International Journal article  

Deneux, T., Kempf, A., Daret, A., Ponsot, E. & Bathellier, B. (2016). Temporal asymmetries in auditory coding and perception reflect multi-layered nonlinearities. Nature communications, 7, 12682. doi:10.1038/ncomms12682

International Journal article  

Ponsot, E., Susini, P. & Meunier, S. (2015). A robust asymmetry in loudness between rising- and falling-intensity tones. Attention, perception & psychophysics, 77(3), 907-20. doi:10.3758/s13414-014-0824-y

RESEARCH INTERESTS

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.

 

SCIENCE COMMUNICATION

A video made by CNRS Images explaining the approach taken in our recent paper to uncover the social code of speech prosody.

Video CNRS Images

 

 

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.

Combining voice-processing algorithms and psychophysical reverse-correlation to probe the exact mental representations in speech; here, the prototype of interrogative intonation in a single word.
Combining voice-processing algorithms and psychophysical reverse-correlation in the space of speech prosody to probe the exact mental representations of any high-level property (e.g., emotional, social, paralinguistic). Here, an example showing how we derive the exact shape of the mental representation related to interrogation.