Projecten per jaar
Persoonlijk profiel
Research profile
Luan Fiorio is enrolled in the PhD program of the Signal Processing Systems Group at the Eindhoven University of Technology. His research is focused on audio processing and machine/deep learning.
Academic background
Luan holds a Bachelor's (2020) and a Master's (2022) degree in Electrical Engineering from Santa Catarina State University, Brazil. His undergraduate research focused on the emulation of tube preamplifiers using neural networks. In his master's thesis, he proposed a robust solution for the Virtual Reference Feedback Tuning (VRFT) method using swarm intelligence algorithms.
Opleiding / Academische kwalificatie
Electrical engineering, Master, Virtual Reference Feedback Tuning with robustness constraints: a swarm intelligence solution, Universidade do Estado de Santa Catarina
mrt. 2020 → feb. 2022
Datum van toekenning: 14 feb. 2022
Electrical engineering, Bachelor, Universidade do Estado de Santa Catarina
jan. 2015 → dec. 2019
Datum van toekenning: 29 feb. 2020
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Luan Fiorio actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
Projecten
- 1 Actief
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RAISE SPS: Robust AI for SafE (radar) signal processing
Gonzalez Carabarin, L. (Projectmedewerker), Youn, J. (Projectmedewerker), Karanov, B. (Projectmedewerker), Wei, X. (Projectmedewerker), Fiorio, L. (Projectmedewerker), Chen, C.-H. (Projectmedewerker), An, M. (Projectmedewerker), Belt, H. J. W. (Projectmedewerker), Manders, T. (Projectmedewerker), Lima de Oliveira, M. (Projectmedewerker), Mischi, M. (Project Manager), Overdevest, J. (Projectmedewerker), Bergmans, J. W. M. (Projectmedewerker), Alvarado, A. (Project communicatie medewerker) & Aarts, R. M. (Projectmedewerker)
1/06/21 → 31/05/28
Project: Third tier
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Clustering of Acoustic Environments with Variational Autoencoders for Hearing Devices
Fiorio, L., Nikoloska, I., van Houtum, W. J. & Aarts, R. M., 28 nov. 2025, arXiv.org, 12 blz.Onderzoeksoutput: Werkdocument › Preprint › Academic
Open AccessBestand -
Hybrid Real- and Complex-valued Neural Network Architecture
Young, A., Fiorio, L., Yang, B., Karanov, B., van Houtum, W. J. & Aarts, R. M., 2025, (Ingediend).Onderzoeksoutput: Werkdocument › Preprint › Academic
Bestand -
Target Speaker Selection for Neural Network Beamforming in Multi-Speaker Scenarios
Fiorio, L., Defraene, B., David, J., Young, A., Widdershoven, F. P., van Houtum, W. J. & Aarts, R. M., 17 nov. 2025, European Signal Processing Conference, EUSIPCO. Institute of Electrical and Electronics Engineers, blz. 166-170 5 blz. 1226058Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
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Spectral Masking With Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement
Fiorio, L. (Corresponding author), Karanov, B., Defraene, B., David, J., Widdershoven, F. P., van Houtum, W. J. & Aarts, R. M., 18 okt. 2024, In: IEEE Access. 12, blz. 154843-154852 10 blz., 10721436.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand46 Downloads (Pure) -
Semi-Supervised Learning with Per-Class Adaptive Confidence Scores for Acoustic Environment Classification with Imbalanced Data
Fiorio, L. V., Karanov, B., David, J., van Houtum, W., Widdershoven, F. & Aarts, R. M., 5 mei 2023, ICASSP 2023 -2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, 5 blz. 10097238Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand1 Citaat (Scopus)15 Downloads (Pure)
Knipsels
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Researchers from Eindhoven University of Technology Report Recent Findings in Technology (Virtual Reference Feedback Tuning With Robustness Constraints: a Swarm Intelligence Solution)
4/08/23
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