Deep MLP for speech-to-emotion with input window and max-pooling

[yoshua]

Setup and train deep MLP for speech-to-emotion with input window over the features extracted by +Nicolas and max-pooling on the output sequence. Train it first on the challenge data, then add the extra data to be collected by +Guillaume A. Test on the challenge validation set.

Try max-pooling the hidden layer rather than the output layer, i.e., following the sequence-wide pooling by a linear (or non-linear) classifier.