Author: Seyed Hamidreza Mohammadi (http://www.cslu.ogi.edu/~mohammah/)
Date: 2014-05-13 (http://www.w3.org/TR/NOTE-datetime)
This is simple wrapper/script for using pylearn2. It interfaces data through numpy arrays instead of Theano objects, which makes it easier if you don't want to deal with Theano objects.
Contains the following classes:
RegularAutoencoder
DenoisingAutoencoder
ContractiveAutoencoer
HigherOrderContractiveAutoencoer
DeepGeneralAutoencoder
MLP (Multilayer Perceptron)
Dependencies:
1- NumPy: http://www.scipy.org/scipylib/download.html
2- Theano (bleeding-edge version): http://deeplearning.net/software/theano/install.html#bleeding-edge-install-instructions
3- Pylearn2: http://deeplearning.net/software/pylearn2/
Cite:
S.H. Mohammadi, A. Kain, Voice Conversion Using Deep Neural Networks With Speaker-Independent Pre-Training, 2014 IEEE Spoken Language Technology Workshop (SLT), 2014.