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Dr. Squartini has been working for a long time in the Digital Speech/Audio Processing research field. Jointly with his collaborators at 3MediaLabs, he has provided original contributions in the audio quality enhancement sub-field, with different algorithms for various applications scenarios, like noise reduction, dereverberation, source separation, speaker diarization, acoustic echo/feedback cancellation. In particular, in the last years his research work has been focused on the development of innovative Automatic Speech/Speaker Recognition solutions robust to real environmental mismatches and also able to operate in real-time. A certain attention has been also paid to the algorithm implementation on embedded platforms, thanks to the active participation into the European University Program of the Texas Instruments (TI) and the material donations received in the last three years by TI itself. Moreover, since the start of his career, Dr. Squartini has provided significant research outcomes in Computational Intelligence (both in terms of Optimization Algorithms and Neural Networks Architectures), with applications in the Audio Processing field and more recently in the optimal Energy Management one.
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INTERNATIONAL JOURNAL OF NEURAL SYSTEMSno. 03 (2024): 2450011-2450011
Lucia Migliorelli, Lorenzo Scoppolini Massini,Michela Coccia, Laura Villani,Emanuele Frontoni,Stefano Squartini
Computer methods and programs in biomedicine (2023): 107840-107840
2023 4TH INTERNATIONAL SYMPOSIUM ON THE INTERNET OF SOUNDSpp.295-303, (2023)
BUILDING ACOUSTICSno. 2 (2023): 165-202
2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)pp.1-6, (2023)
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-2, (2023)
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2023 4TH INTERNATIONAL SYMPOSIUM ON THE INTERNET OF SOUNDSpp.105-111, (2023)
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