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Josh McDermott is a perceptual scientist studying sound and hearing at the Department of Brain and Cognitive Sciences at MIT. He heads the Laboratory for Computational Audition, where his research addresses human-machine audition using tools from experimental psychology, engineering, and neuroscience. McDermott obtained a BA in Brain Cognitive Science from Harvard, an MPhil in Computational Neuroscience from University College London, a PhD in Brain Cognitive Science from MIT, and completed postdoctoral training in psychoacoustics at the University of Minnesota and computational neuroscience at New York University. He is a recipient of the Marshall Scholarship, the James S. McDonnell Foundation Scholar Award, and the NSF CAREER Award. His work aims to improve devices assisting those with hearing impairments and to design effective machine systems for recognizing and interpreting sound. He conducts experiments that reveal where machine algorithms fail in terms of auditory processing, drawing strong inspiration from machine hearing research. McDermott collaborates with neurophysiologists and cognitive neuroscientists, exploring how humans recognize real-world sound sources and study music perception and cognition.
Massachusetts Institute of Technology • Cambridge, MA
Joshua McDermott is a professor in the Department of Brain and Cognitive Sciences, leading research in computational audition.