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Individual Three-dimensional Spatial Auditory Displays for Immersive Virtual Environments

Publikacje

The Viking HRTF Dataset

Autorzy: Simone Spagnol, Kristján Bjarki Purkhús, Sverrir Karl Björnsson, Rúnar Unnthórsson
Opublikowane w: Proceedings of the 16th International Sound And Music Computing Conference, 2019, Strona(/y) 55-60
Wydawca: Universidad de Málaga
DOI: 10.5281/zenodo.3249252

Estimation of pinna notch frequency from anthropometry: An improved linear model based on principal component analysis and feature selection

Autorzy: Riccardo Miccini, Simone Spagnol
Opublikowane w: Combined proceedings of the Nordic Sound and Music Computing Conference 2019 and the Interactive Sonification Workshop 2019, 2019, Strona(/y) 5-8
Wydawca: KTH Royal Institue of Technology

Auditory Model Based Subsetting of Head-Related Transfer Function Datasets

Autorzy: Simone Spagnol
Opublikowane w: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Strona(/y) 391-395, ISBN 978-1-5090-6631-5
Wydawca: IEEE
DOI: 10.1109/icassp40776.2020.9053360

HRTF Individualization using Deep Learning

Autorzy: Riccardo Miccini, Simone Spagnol
Opublikowane w: 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2020, Strona(/y) 390-395, ISBN 978-1-7281-6532-5
Wydawca: IEEE
DOI: 10.1109/vrw50115.2020.00084

3D ear shape as an estimator of HRTF notch frequency

Autorzy: Marius George Onofrei, Riccardo Miccini, Runar Unnthorsson, Stefania Serafin, Simone Spagnol
Opublikowane w: Proceedings of the 17th International Conference on Sound and Music Computing (SMC 2020), 2020, Strona(/y) 131-137, ISBN 978-88-945415-0-2
Wydawca: Axea sas/SMC Network
DOI: 10.5281/zenodo.3898720

HRTF selection by anthropometric regression for improving horizontal localization accuracy

Autorzy: Simone Spagnol
Opublikowane w: IEEE Signal Processing Letters, Numer 27, 2020, Strona(/y) 1-1, ISSN 1070-9908
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lsp.2020.2983633

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