Deep Learning Project for speech recognition The project has been developed with IPython using Jupyter Notebook and has two main notebooks:
- Dataset and Feature Dumper contains the routine for downloading the dataset, process it and save the used variable for Processing notebook
- Processing is the plain notebook with data selection
In the dependencies folder there are two .py files:
- functions.py where there are all the function used in the code
- models.py where there are all the model used in the code
In the CompiledNotebook folder is possible to find pre-run notebook with confusion matrices.
More code is in:
- OnlineProcessing is a simple proposal for online processing
- ExtraCode contains training methods for networks, a multiOutput inception, the hyperparamer optimization and a possible weighted categorical loss