Stefano Fasciani

PYNQ- Torch: a framework to develop PyTorch accelerators on the PYNQ platform

Manohar Vohra, Stefano Fasciani, 2019, 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

Identifying Optimal Features for Multi-channel Acoustic Scene Classification

Nidhal Abdulaziz, Christian Ritz, Stefano Fasciani, 2019, 2019 2nd International Conference on Signal Processing and Information Security (ICSPIS).

Scalogram Neural Network Activations with Machine Learning for Domestic Multi-channel Audio Classification

Christian Ritz, Nidhal Abdulaziz, Stefano Fasciani, 2019, 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

DASEE A Synthetic Database of Domestic Acoustic Scenes and Events in Dementia Patients Environment pdf

Christian Ritz, Stefano Fasciani, Abigail Copiaco, 2021, ArXiv.

A Study of Features and Deep Neural Network Architectures and Hyper-Parameters for Domestic Audio Classification

Stefano Fasciani, Abigail Copiaco, Nidhal Abdulaziz, 2021, Applied Sciences.