new branch for developing models
old old changes to original class
replaced deepAE with deepAE2
working class for models created using pylearn2
complete overhaul of pylearn2 code. Not in working state, about to resurrect autocontrol.py
just starting to rewrite autocontrol
Major redesign
Fixed the overlap add issues with windowing
Added functionality to accept normalization constants. Fixed other normalization related bugs.
First import.\nClasses for training nonnegative sparse autoencoder.
Merge branch 'modeldev' of https://github.com/woodshop/deepAutoController into modeldev
Extensive updates to cotroller, icluding real time audio
Changed main function foryaml parsing
Merge branch 'modeldev' of https://github.com/woodshop/deepAutoController into modeldev
Added capability to load nnsae.
Adapted nnsae to remove use of hidden or visible biases
Fixed vocoding issues.\n The interface now uses non-rectangular analysis and synthesis hanning windows. The window size is the same as the fft size. This means that any ringing due to processing is portentially aliase back into the signal. This might be important tot look at again in the future.
Work in progress for ICMC paper
Work in progress for ICMC paper
first import of feature extraction script