Alessandro Ragano

Thesis: 
Data-driven Quality Prediction for Digitally Restored Audio Archives

Investigating and understanding the Quality of Experience (QoE) aspects of audio archives and developing data-driven approaches for QoE estimation and audio restoration based on deep learning

Supervisior: 
Dr. Andrew Hines
Email: 
alessandro.ragano@ucdconnect.ie
Research Group: 
Insight