This simple classification project can classify .wav to 4 types :"望门投止思张俭","忍死须臾待杜根","我自横刀向天笑","去留肝胆两昆仑".
test contains the testing dataset
data contains the training dataset
model.py contains the model trained
arguments.py stores all the parameters needed for training model
dataloader.py is responsible for loading the data
train.py is used for training data
predict.py used the data in test dataset to check the accuracy
rnn.pth is the model arguments of model , which are gained by training
forfun.py is a gui which supports predict .wav file
checkaudio.py is used for predicting single .wav file
运行python train.py训练模型 运行python forfun.py打开GUI预测