Luca Comanducci
Scholar

Luca Comanducci

Google Scholar ID: OjADau0AAAAJ
Politecnico di Milano
Music InformaticsGenerative ModelsMachine LearningSpatial Audio
Citations & Impact
All-time
Citations
447
 
H-index
12
 
i10-index
16
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • - Paper 'Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models' accepted at WASPAA 2025
  • - Papers 'MambaFoley: Foley Sound Generation using Selective State-Space Models' and 'Towards HRTF Personalization using Denoising Diffusion Models' accepted at ICASSP 2025
  • - Paper 'Synthetic Training Set Generation Using Text-to-Audio Models for Environmental Sound Classification' presented at the DCASE workshop
  • - Papers 'Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-wise Relevance Propagation' and 'Room transfer function reconstruction using complex-valued neural networks and irregularly distributed microphones' published in the European Signal Processing conference
Research Experience
  • - Currently working as a temporary assistant professor (Ricercatore a Tempo Determinato di tipo A) at the Department of Electronics, Information and Bioengineering (DEIB), part of the Image and Sound Processing Lab
  • - Research assistant for the INTERMUSIC project
  • - Member of the (REPERTORIUM) project
  • - Teaching assistant in the M.Sc. in Music and Acoustic Engineering at Politecnico di Milano since 2018, for courses related to musical acoustics and creative programming
  • - Member of the organizing committee of ISMIR 2023 as part of the tech team
Education
  • - B.S. in Music Information Science from the University of Milan, Italy, 2014
  • - M.S. in Computer Science and Engineering from Politecnico di Milano, Italy, 2018
  • - Ph.D. (cum laude) in Information Engineering from Politecnico di Milano, Italy, 2022
Background
  • Main research interests: application of generative models to music informatics, space-time audio signal problems, and development of techniques for human-computer interaction in musical contexts.
Miscellany
  • Personal interests and other: None