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Classification of Acoustic Signals using Deep Learning Architectures
The classification of acoustic signals whose factors of variation are due to different atmospheric and sound propagation effect is a challenging problem. The internship will explore new learning algorithms for this application, which have the potential to capture some of the complex structure in the data.
Faculty Supervisor:
Dr. Douglas Eck
Student:
Olivier Delalleau
Partner:
ApSTAT Technologies Inc.
Discipline:
Computer science
Sector:
Information and communications technologies
University:
Université de Montréal
Program:
Accelerate
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