I am using your code to train data on LCNN

Now i am dealing with the problem of choosing access type PA or LA

When I choose the access type as LA, the error keep occurs.

I suppose the error is because there is no file about LA on the protocol file.

train_protocol.csv is filled only with PA files.

LA file does not need any protocol path or something>?

I beg your help.

Thank you

The protocol files include the PA files as csv. Does this script work for LA attack as well?

I appreciate that your code can be used as a reference, but I don't know how to run them, could you please add more comments in the README file again? Thanks.

The train and dev features get extracted successfully; While building the LCNN model, I get the following error:
ValueError: Input 0 of layer conv2d is incompatible with the layer: : expected min_ndim=4, found ndim=3.
I did not make any changes in the script, simply running the original script with same dataset (ASV spoof 2019)

The feature.py doesn't have a save_feature function.So may I have your ' save_feature function' code ?

In the "model.fit " function I tried setting shuffle=True.
But still loss: 0.2522 - accuracy: 0.8989 -
val_loss: 0.0000e+00 - val_accuracy: 0.0000e+00 <-- (PS: Classification problem)
model.compile(
optimizer=Adam(learning_rate=lr),
loss="sparse_categorical_crossentropy",
metrics=["accuracy"]
)
model.fit(
x_train,
y_train,
epochs=epochs,
batch_size=batch_size,
validation_data=[x_val, y_val],
shuffle=True,
callbacks=[es, cp_cb])