Representation learning package using side information, system for subword modeling for Zeroresource challenge.
To install the ABnet3 package, you can use Anaconda, and either create a conda environment:
conda create --name abnet3 --file requirements.txt
or use a conda environment you already have with python 3 :
conda install --file requirements.txt
Once all the necessary packages are installed, simply launch:
python setup.py build && python setup.py install
If you want to work on ABnet3 and develop your own modules, instead of:
python setup.py install
you can launch:
python setup.py develop
The package comes with a unit-tests suit. To run it, first install pytest on your Python environment:
pip install pytest
pytest test
[Thiolliere, R. et al. 2014] A hybrid dynamic time warping-deep neural network architecture for unsupervised acoustic modeling. In Sixteenth Annual Conference of the International Speech Communication Association
[Zeghidour, N. et al. 2016] Zeghidour, N., Synnaeve, G., Usunier, N. & Dupoux, E. (2016). Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. In INTERSPEECH-2016, (pp 1295-1299)
A part of the code is inspired from the previous version in Theano of ABnet, and the examples in Pytorch