Marco Comunità
Scholar

Marco Comunità

Google Scholar ID: v4NK-A0AAAAJ
PhD researcher at Queen Mary University of London
ML/DLaudio signal processingmusic signal processing
Citations & Impact
All-time
Citations
225
 
H-index
9
 
i10-index
9
 
Publications
19
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, such as 'Differentiable Black-box and Gray-box Modeling of Nonlinear Audio Effects', 'NablAFx: A Framework for Differentiable Black-box and Gray-box Modeling of Audio Effects', and more, and won the Best Paper Award at ISMIR 2024.
Research Experience
  • Was a research intern at Sony CSL Paris, working on deep learning for audio signal processing; postdoctoral researcher at Queen Mary University of London, working on music source separation; research intern at Sony Tokyo, focused on deep learning for generative audio; research assistant at Imperial College London, working on binaural audio rendering and interactive soundscapes; electronic engineer and project engineer at Blackstar Amplification, responsible for amps and effects design and project management; founder, owner, and electronic engineer at Mad Hatter Stompboxes, designing guitar pedal effects and full product development.
Education
  • Holds a BEng in Computer Engineering and an MEng in Electronic Engineering from Sapienza University of Rome; an MSc in Sound and Music Computing from Queen Mary University of London; currently pursuing a PhD in Artificial Intelligence and Music at Queen Mary University of London under the supervision of Joshua Reiss.
Background
  • Research interests include audio effects modeling and neural synthesis of sound effects. Previously, he worked as a guitar amplifiers designer and project engineer at Blackstar Amps, focusing on high-voltage valve amps, low-voltage amps, and pedals, as well as helping to model analog circuits.
Miscellany
  • Passionate about music, he was a guitar pedal designer.