Curating a strongly labelled urban sound dataset for deep neural network training
The success of deep learning relies on massive training data. However, obtaining large-scale labeled data is not easy, which is expensive and time-consuming. Addressing the complexities of urban soundscapes, this research explores the use of real-world audio data from Singapore to enhance urban soun...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/177273 |