Using a sequence 2 sequence model with attention to convert from pronunciation to spelling.

Install the requirements pip install --upgrade -r requirements.txt

Then start a jupyter notebook and open main.ipynb

It reaches a character error rate of <20%, and here are the results . The machine has made some reasonable mistakes but becomes confused by the end of the word.

Note if you view the readme in html you will see lighter letters show where the model was uncertain.