AES Milan 2018 Presenter or Author
Emanuele Principi
Primary Affiliation: Università Politecnica delle Marche - Ancona, Italy
Emanuele Principi was born in Senigallia (AN), Italy, on January 1978. He got the Italian Laurea with honors in electronic engineering from University of Ancona (now Università Politecnica delle Marche, UnivPM), Italy, in 2004. He obtained his PhD at the same university in November 2009. He is now a post-doctoral researcher since March 2010. His current research interests are in the area of digital signal processing and computational intelligence, with special focus on energy management and speech/audio processing. Dr. Principi has actively participated to various (funded) regional, national and European projects on multimedia Digital Signal Processing. He is author and co-author of many international scientific peer-reviewed articles, and he has been serving as a reviewer for several international journals (e.g., Elsevier Speech Communication, IEEE Transactions on Neural Networks and Learning Systems, Springer Cognitive Computation), and conference proceedings (e.g., International Joint Conference on Neural Networks, IEEE International Workshop on Machine Learning for Signal Processing). He is member of the editorial board of Neural Computing and Applications and of Artificial Intelligence Review both edited by Springer from 2017, and member of the program committee of several international conferences. He also served as Guest Editor for the Special Issue on “Theory and Application of Computational Intelligence in Electric Vehicles and their Integration within Smart Energy Networks” (Energies, MDPI) and he co-organized the Special Session on “Computational Audio Processing” within the IEEE International Joint Conference on Neural Networks in 2017 and 2018. He is also member of the Texas Instrument Expert Advisory Panel and of the International Neural Networks Society.
More Info: http://www.a3lab.dii.univpm.it/people?layout=edit&id=62
Session List
May 25:
P20: Audio Processing and Effects – Part 1
Deep Learning for Timbre Modification and Transfer: An Evaluation Study (Author)