I am currently trying to build an autoencoder to de-noise audio data. However I have not found any good articles explaining about the input to the autoencoder, i.e. feature vector. As in speech recognition/text up projects, MFCC is known to perform good as a input data/feature vector to neural network. I would like to know what kind of data is need for denoise autoencoder for audio/sound data.
Thank you so much for your kind help in advance.