Evaluate whether a wave file is normal or abnormal
evaluateGUI.py: main code
evaluate.yaml : parameter setting
dataset: for test file(type: .wav)
model : for trained model(type: .pth)
pickle_unsupervised : for unsupervised model test(type: .pickle)
Environment : mobaxtern
python3 evaluateGUI.py
Button description
Open wave file : choose test wavefile
Open model file: choosed trained model
start testing : test wavefile you choose by trained model you choose
reset : clean the result
Visualization : visualize the wavefile and the test error