Classification on distressed sounds with CNN/RNN
Nowadays, people pay more attention to their personal safety due to the improvements in their quality of life. Imagine if you called for a policeman for help, they would be able to arrive within minutes and that could reduce the chance of crime. This can be done by classifying the distressed sounds...
Saved in:
Main Author: | Guo, Xihuang |
---|---|
Other Authors: | Gan Woon Seng |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139181 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Classification of distressed sounds using CNN/C-RNN
by: Loh, Zhen Ann
Published: (2021) -
A survery on CNN transfer learning for image classification
by: Teo, Jia Sheng
Published: (2023) -
Adversarial attacks on RNN-based deep learning systems
by: Loi, Chii Lek
Published: (2020) -
Deep CNN-LSTM supervised model and CNN self-supervised model for human activity recognition
by: Liao, Zixin
Published: (2023) -
Classification of sound using machine learning
by: Tan, Ki In
Published: (2023)