Sonification of geometry

Sonification of geometry

There has been a substantial amount of research put into training neural networks that are used to predict the sounds of arbitrary 3D mesh objects. Each of these different neural networks all have their various ways of preprocessing these 3D mesh objects so that it can help to accelerate the process...

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Main Author: Teo, Han Hua
Other Authors: Alexei Sourin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/172025
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-172025
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spelling sg-ntu-dr.10356-1720252023-11-24T15:38:11Z Sonification of geometry Teo, Han Hua Alexei Sourin School of Computer Science and Engineering assourin@ntu.edu.sg Engineering::Computer science and engineering There has been a substantial amount of research put into training neural networks that are used to predict the sounds of arbitrary 3D mesh objects. Each of these different neural networks all have their various ways of preprocessing these 3D mesh objects so that it can help to accelerate the process of training the neural network model. As such, this project investigates whether it is feasible to train such modal sound neural network models without the preprocessing. Bachelor of Engineering (Computer Science) 2023-11-21T01:56:55Z 2023-11-21T01:56:55Z 2023 Final Year Project (FYP) Teo, H. H. (2023). Sonification of geometry. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172025 https://hdl.handle.net/10356/172025 en 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
spellingShingle Engineering::Computer science and engineering
Teo, Han Hua
Sonification of geometry
description There has been a substantial amount of research put into training neural networks that are used to predict the sounds of arbitrary 3D mesh objects. Each of these different neural networks all have their various ways of preprocessing these 3D mesh objects so that it can help to accelerate the process of training the neural network model. As such, this project investigates whether it is feasible to train such modal sound neural network models without the preprocessing.
author2 Alexei Sourin
author_facet Alexei Sourin
Teo, Han Hua
format Final Year Project
author Teo, Han Hua
author_sort Teo, Han Hua
title Sonification of geometry
title_short Sonification of geometry
title_full Sonification of geometry
title_fullStr Sonification of geometry
title_full_unstemmed Sonification of geometry
title_sort sonification of geometry
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/172025
_version_ 1783955643957248000

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