AidNet: A DNN-based hearing aid for restoration of central neural coding

Release v1.0 of AidNet, a deep neural network (DNN) hearing aid model for optimal restoration of central neural coding. The provided AidNet model was developed to compensate for a mild high-frequency hearing loss profile and can be used to process any sound such that neural activity in the inferior colliculus (IC) is restored to normal. This release provides a Jupyter notebook with a simple usage example for the AidNet model and sound examples. More information can be found in our supporting paper: "Optimal hearing aid design through restoration of the neural code" by Fotios Drakopoulos, Lloyd Pellatt, Shievanie Sabesan, Yiqing Xia, Tingchen Gong, Andreas Fragner, Nicholas A Lesica.