Short Bio: Stefano Fasciani has an academic background in electronic engineering and professional experience in the semiconductor industry and in the club scene. His research and personal interest are focused on technologies for sonic arts, including sound and music computing, sound synthesis and analysis, applied machine learning, human computer interaction, networked music performances, digital signal processing, and real-time embedded systems.
Fasciani, Stefano; Erdem, Cagri & Hardwick, Jack Edward
(2024).
CordChord: A String Instrument with Optical Sensing,
Proceedings of the International Conference on New Interfaces for Musical Expression.
NIME.
ISSN 2220-4792.
Memis, Ahmet Emin; Fasciani, Stefano & Erdem, Cagri
(2024).
The Hyper-Ney: An Enhanced Traditional Flute,
Proceedings of the International Conference on New Interfaces for Musical Expression.
NIME.
ISSN 2220-4792.
Fasciani, Stefano; Lucas Bravo, Pedro Pablo; Szorkovszky, Alexander & Glette, Kyrre
(2024).
Interactive Sonification of 3D Swarmalators,
Proceedings of the International Conference on New Interfaces for Musical Expression.
NIME.
ISSN 2220-4792.
Eicke, Kristian; Fasciani, Stefano & Erdem, Cagri
(2024).
Xyborg: A Wearable Hand-based Instrument for Musical Expression,
Proceedings of the International Conference on New Interfaces for Musical Expression.
NIME.
ISSN 2220-4792.
Fasciani, Stefano
(2024).
Bibliometric Analysis of NIME References and Citations,
Proceedings of the International Conference on New Interfaces for Musical Expression.
NIME.
ISSN 2220-4792.
Fasciani, Stefano; Simionato, Riccardo & Tidemann, Aleksander
(2024).
A Universal Tool for Generating Datasets from Audio Effects,
Proceedings of the Sound and Music Computing Conference 2024.
SMC Network.
ISSN 2518-3672.
Simionato, Riccardo & Fasciani, Stefano
(2024).
Conditioning Methods for Neural Audio Effects,
Proceedings of the Sound and Music Computing Conference 2024.
SMC Network.
ISSN 2518-3672.
Simionato, Riccardo & Fasciani, Stefano
(2024).
Hybrid Neural Audio Effects
,
Proceedings of the Sound and Music Computing Conference 2024.
SMC Network.
ISSN 2518-3672.
Lucas Bravo, Pedro Pablo; Fasciani, Stefano & Glette, Kyrre
(2024).
Csound vs. ChucK: Sound Generation for XR Multi-Agent Audio Systems in the Meta Quest 3 Using the Unity Game Engine,
Proceedings of the Sound and Music Computing Conference 2024.
SMC Network.
ISSN 2518-3672.