/ezu-capstone

Primary LanguageJupyter Notebook

ezu-capstone

You will need to create a separate folder like this: -Dataset -clean_voice -noise -sound -spectrogram -time_series

the clean voice dataset can be downloaded from http://www.openslr.org/12/ and the noise dataset from https://github.com/karolpiczak/ESC-50

Add the clean voice dataset into the clean_voice dirs, and noise dataset into the noise dir

Then in the model folder, change the parameters in args.py according to the filepath of the dirs specified above.

run in console python main.py --mode=data_creation

after that you can run the Training.ipynb in jupyter notebooks.