Music generation with deep learning techniques

• Main Author: Toh, Raymond Kwan How
• Other Authors: Alexei Sourin
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Visual arts and music::Music::Compositions
• Online Access: https://hdl.handle.net/10356/148097
• Institution: Nanyang Technological University

This report demonstrated the use of a deep convolutional generative adversarial network (DCGAN) in generating expressive music with dynamics. The existing deep learning models for music generation were reviewed. However, most research focused on musical composition and removed expressive attributes...