I am preparing a presentation about the ongoing projects of our research team in Paris, and I realized that it may be worth sharing as a thread as an #introduction for the @cognition #audition @psycholinguistics community in the #academicmastodon ⬇️
@cognition @psycholinguistics The Modulation Group brings together researchers from 3 institutions in Paris: l'Ecole normale supérieure, Université Paris Cité and Ircam. (2/X)
This very crowded slide details the Human Auditory ecology project led by Christian Lorenzi, investigating many aspects of the perception of natural soundscape by humans, from the detection of biophony (e.g. birdsongs) to the design of an algorithm for synthesizing natural soundscapes
The Auditory Classification Images project is actually the follow-up of my PhD work from 10 years ago. We develop new methods to investigate auditory perception, using a microscopic trial-by-trial analysis (aka "revcorr") of the participant’s responses. We apply this approach to the study of phoneme categorization, AM detection, and sentence segmentation. (5/X)
The Université Paris Cité team, led by Laurianne Cabrera, is mainly interested in the auditory development during childhood and infancy. In this project, Irene Lorenzini and Charlotte Benoit try to relate the maturation of AM processing in 5- to 11-year old children to the improvement of speech in noise perception during this period of life. (6/X)
In parallel, Monica Hedge is exploring similar questions on infants of 6 months or 10 months, as part of her PhD project (7/X)
The two remaining projects are from the IRCAM’s side. Emmanuel Ponsot is investigating the integration of spectral and temporal information by the auditory system. He also received a funding for a project looking for early markers of cochlear synaptopathy. (8/X)
Et voilà! please feel free to ask me if you want more details on any of these projects! (9/9)
At the core of the Modulation group is the notion of computational modelling of auditory processing. In almost all our projects we use artificial listeners as a baseline to compare/predict/interpret the results of human participants. We also contribute actively to the Auditory Modeling Toolbox project (https://www.amtoolbox.org/), which provides open-source models for many stages of the auditory system. (3/X)