Sorry for the late reply to this post, however I have exam for January and had to move my focus there. Anyway now I am continuing working on my model.

Here is a picture of an audio file after MFCC extraction using librosa libraries. It is currently resize into 512 x 512 (200 DPI) instead of the previous ambitious 1024x1024 (200 DPI) settings. These pictures are all JPG form and resides in a folder. I then have all image name and the image label stored in CSV files.

a001_0_30.jpg512×512 31.5 KB



X_train = loadDataSet(os.path.join(eval_path,“fold1_train.csv”),train_path,ToTensor())
train_loader = DataLoader(X_train, shuffle=True)
X_test = loadDataSet(os.path.join(eval_path,“fold1_evaluate.csv”),test_path,ToTensor())
test_loader = DataLoader(X_train, shuffle=True)