Module code: ECS7013P
Credits: 15.0
Semester: SEM2
Contact: Dr Johan Pauwels
Prerequisite: Before taking this module you must take ECS708P
This module, for those who have some prior knowledge of machine learning, focusses on deep learning methods and how they can be used to address many tasks in audio and music. The theory of modern deep neural networks (DNNs) is covered, including training of common DNN types as well as modifying DNNs for new purposes. Various tasks in analysis/generation of audio and music are studied directly to inspire the content, using raw audio and/or symbolic representations. Background in machine learning is essential, and some background in digital signal processing is highly recommended. Music knowledge would be desirable but is not a requirement.
Connected course(s): UDF DATA
Assessment: 60.0% Coursework, 25.0% Examination, 15.0% Practical
Level: 7
