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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