Machine learning / deep learning approach to soundscape evaluations
Masking is the addition of sounds to soundscapes or noise-polluted areas. These additional sounds are known as “maskers”. Soundscape augmentation is a method that involves the addition of “maskers” to a soundscape. It is a noise mitigation method that aims to improve the overall soundscape per...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167424 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Masking is the addition of sounds to soundscapes or noise-polluted areas. These additional
sounds are known as “maskers”. Soundscape augmentation is a method that involves the
addition of “maskers” to a soundscape. It is a noise mitigation method that aims to improve
the overall soundscape perception or quality.
Many studies have used such techniques to improve the perception of a soundscape.
However, the studies conducted have some limitations. The choice of maskers used in
those studies are often limited to a single type of masker and are inflexible to real-time
soundscapes. The method for selecting maskers also tends to be dependent on experts.
This project will be using a machine learning/deep learning approach to select maskers
from the given masker database for a soundscape, which can instantaneously and
independently predict a suitable masker for that soundscape to create an overall pleasant
soundscape. |
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