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Quaternion-Valued Convolutional Neural Networks for End-to-End Automatic Speech Recognition |
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===================== This repository contains code which reproduces experiments presented in |
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the paper [link incoming] |
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Requirements ------------ Install requirements for experiments with pip: ``` |
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pip install numpy tensorflow-gpu keras theano |
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``` Depending on your Python installation you might want to use anaconda or other tools. |
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You can also go to the 'Installation' Section and execute the command for an automatic installation. |
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Installation ------------ |
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Install all the needed dependencies. |
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``` python setup.py install ``` Experiments ----------- 1. Get help: ``` python scripts/run.py train --help ``` 2. Run models: ``` |
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python scripts/run.py train --model {real,quaternion} --sf STARTFILTER --nl NUMBEROFLAYERS |
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``` Other arguments may be added as well; Refer to run.py train --help for - Optimizer settings - Dropout rate - Clipping |
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- Saving prefix |
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- ... Citation -------- Please cite our work as ``` ``` |