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Stefano Damiano
Stefano Damiano
PhD Student, KU Leuven
Zweryfikowany adres z kuleuven.be
Tytuł
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Cytowane przez
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Pyroadacoustics: a road acoustics simulator based on variable length delay lines
S Damiano, T van Waterschoot
Proc. 25th Int. Conf. Digital Audio Effects (DAFx20in22), 216-223, 2022
162022
Soundfield reconstruction in reverberant rooms based on compressive sensing and image-source models of early reflections
S Damiano, F Borra, A Bernardini, F Antonacci, A Sarti
2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021
152021
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?
S Damiano, L Bondi, S Ghaffarzadegan, A Guntoro, T van Waterschoot
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and …, 2024
132024
A compressive sensing approach for the reconstruction of the soundfield produced by directive sources in reverberant rooms
S Damiano, F Borra, A Bernardini, F Antonacci, A Sarti
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
52024
Real-time acoustic perception for automotive applications
J Yin, S Damiano, M Verhelst, T van Waterschoot, A Guntoro
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
42023
A zero-shot physics-informed dictionary learning approach for sound field reconstruction
S Damiano, F Miotello, M Pezzoli, A Bernardini, F Antonacci, A Sarti, ...
ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025
12025
Synthetic data generation techniques for training deep acoustic siren identification networks
S Damiano, B Cramer, A Guntoro, T van Waterschoot
Frontiers in Signal Processing 4, 1358532, 2024
12024
A framework for the acoustic simulation of passing vehicles using variable length delay lines
S Damiano, L Bondi, A Guntoro, T van Waterschoot
EURASIP Journal on Audio, Speech, and Music Processing 2024 (1), 49, 2024
2024
Frequency Tracking Features for Data-Efficient Deep Siren Identification
S Damiano, T Dietzen, T van Waterschoot
arXiv preprint arXiv:2409.08587, 2024
2024
A compressive sensing approach to soundfield reconstruction in reverberant environments
S Damiano
Politecnico di Milano, 2019
2019
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