Computational Models of Pitch Perception
The aim of the project is to explore different approaches to the study of an auditory perceptual function: pitch perception. We will (1) see how to actually measure this function in humans through actual psychophysical experiments (human subjects reporting their subjective judgments in response to sounds and (2) implement and test different approaches to the modelling of this function both from a biophysical perspective -incorporating current knowledge of actual working of the auditory system- and from a more abstract, normative standpoint using tools from signal processing and machine learning.
This project should be very self contained, with students designing the models to analyze the data they would also generate themselves.
Depending on interest, other projects related to sound processing or auditory perception could be conducted.
Project prerequisites: Basics of Linear Algebra, Basics of Probability Theory
Associated topics: Cognitive Science, Computational Neuroscience, Computer Science
Dr. Vincent Adam,
Phd Candidate in Computational Neuroscience at the Gatsby Computational Neuroscience Unit.