Application of deep learning in music visualisation

The aim of this report is to study the field of music visualisation techniques, and the applications of deep learning in the field. Current music visualisation techniques, both with and without deep learning, were reviewed in order to identify a potential research area that could be expanded upon. T...

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Main Author: Haziq Yusoff Abdul Wahab
Other Authors: Alexei Sourin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148062
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1480622021-04-22T08:23:38Z Application of deep learning in music visualisation Haziq Yusoff Abdul Wahab Alexei Sourin School of Computer Science and Engineering assourin@ntu.edu.sg Engineering::Computer science and engineering::Computer applications The aim of this report is to study the field of music visualisation techniques, and the applications of deep learning in the field. Current music visualisation techniques, both with and without deep learning, were reviewed in order to identify a potential research area that could be expanded upon. This report documents the research and development of a tool that leverages Deep Learning techniques in Music Visualisation. The script was implemented using Python, utilising external libraries NVIDIA's StyleGAN2 for training and testing, matplotlib for drawing, and external application splitter.ai for music processing. A user study was then conducted to verify the effectiveness of the tool. Bachelor of Engineering Science (Computer Science) 2021-04-22T08:23:38Z 2021-04-22T08:23:38Z 2021 Final Year Project (FYP) Haziq Yusoff Abdul Wahab (2021). Application of deep learning in music visualisation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148062 https://hdl.handle.net/10356/148062 en SCSE20-0120 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computer applications
spellingShingle Engineering::Computer science and engineering::Computer applications
Haziq Yusoff Abdul Wahab
Application of deep learning in music visualisation
description The aim of this report is to study the field of music visualisation techniques, and the applications of deep learning in the field. Current music visualisation techniques, both with and without deep learning, were reviewed in order to identify a potential research area that could be expanded upon. This report documents the research and development of a tool that leverages Deep Learning techniques in Music Visualisation. The script was implemented using Python, utilising external libraries NVIDIA's StyleGAN2 for training and testing, matplotlib for drawing, and external application splitter.ai for music processing. A user study was then conducted to verify the effectiveness of the tool.
author2 Alexei Sourin
author_facet Alexei Sourin
Haziq Yusoff Abdul Wahab
format Final Year Project
author Haziq Yusoff Abdul Wahab
author_sort Haziq Yusoff Abdul Wahab
title Application of deep learning in music visualisation
title_short Application of deep learning in music visualisation
title_full Application of deep learning in music visualisation
title_fullStr Application of deep learning in music visualisation
title_full_unstemmed Application of deep learning in music visualisation
title_sort application of deep learning in music visualisation
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148062
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