IT56-02 :: Dog Cough Sound Analysis and Classification

เทคนิคการวิเคราะห์เสียงไอสุนัข

details
In this research, discrete wavelet transform (DWT) is used for analyzing dog cough sound signals. Feature vectors are extracted from DWT sub-bands. Reduction dimension of features by using fisher score. Then, artificial neural network (ANN) is used for classification into 2 class i.e. dry cough and productive cough.
tools & techniques
Tool : Matlab R2016a Techniques : Discrete Wavelet Transform (DWT), Fisher score, Artificial Neural Network (ANN)
author
Ms.VIEWPAKA WHANGVISAVAWIT
รหัสนักศึกษา 56130500068
Viewpaka@gmail.com
Ms.PANCHANA KAKABUTR
รหัสนักศึกษา 56130500039
Panchana.pp@gmail.com
Ms.KULLANAN SAE CHEN
รหัสนักศึกษา 56130500006
KullananChen@gmail.com
advisor
Olarn Rojanapornpun
Praisan Padungweang