Variational Auto Encoder for the zerospeech 2017 challenge
This code was written for the Deep Learning class at Georgia Tech (CS 7643).
It tests the variational auto encoder model for the track 1 of the zerospeech 2017 challenge, which is unsupervised subword modeling.
Training
Use main.py, or the train.sh wrapper
Embedding
Use embedding.py