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.


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