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Variational Auto Encoder for the zerospeech challenge
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README.md
data.py
embed_and_eval.sh
embedder.py
environment.yml
generate_h5f.py
main.py
model.py
random.h5f
train.sh

README.md

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

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