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.
Intern:
Olivier Delalleau
Faculty Supervisor:
Dr. Douglas Eck
Province:
Quebec
University:
Partner:
Discipline:
Program:
