フォロー
Domenico De Salvio
タイトル
引用先
引用先
Measuring the speech level and the student activity in lecture halls: Visual-vs blind-segmentation methods
D D’Orazio, D De Salvio, L Anderlucci, M Garai
Applied Acoustics 169, 107448, 2020
272020
Unsupervised analysis of background noise sources in active offices
D De Salvio, D D'Orazio, M Garai
The Journal of the Acoustical Society of America 149 (6), 4049-4060, 2021
252021
Effectiveness of acoustic treatments and PA redesign by means of student activity and speech levels
D De Salvio, D D’Orazio
Applied Acoustics 194, 108783, 2022
162022
Measuring and identifying background noises in offices during work hours
E Rossi, D De Salvio, D D’Orazio, M Garai
IOP Conference Series: Materials Science and Engineering 609 (4), 042005, 2019
62019
Predicting speech intelligibility in university classrooms using geometrical acoustic simulations
G Fratoni, D D'Orazio, D De Salvio, M Garai
Building Simulation Conference Proceedings 6, 4305-4312, 2019
42019
Blind source separation by long-term monitoring: A variational autoencoder to validate the clustering analysis
D De Salvio, MJ Bianco, P Gerstoft, D D'Orazio, M Garai
The Journal of the Acoustical Society of America 153 (1), 738-750, 2023
32023
Assessing human activity noise in workspaces using machine learning and numerical models
D De Salvio, G Fratoni, D D'Orazio, M Garai
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265 (2), 5259-5269, 2023
12023
Clustering analysis of noise sources in healthcare facilities
M Cingolani, D De Salvio, D D'Orazio, M Garai
Applied Acoustics 214, 109660, 2023
2023
Advanced statistical models for the segregation, identification and measurement of coexisting sound sources
D De Salvio
alma, 2023
2023
Clustering analyses to assess HVAC noise in real-world conditions
D De Salvio, D D'Orazio, M Garai
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265 (2), 5279-5285, 2023
2023
PRELIMINARY CLUSTERING ANALYSIS OF NOISE IN A HOSPITAL ROOM
M Cingolani, D De Salvio, D D’Orazio, M Garai
2023
STATISTICAL ANALYSIS OF SOUND LEVEL METER MONITORING
D De Salvio, D D’Orazio, M Garai
2023
Features analysis to label sound sources by long-term monitoring
D De Salvio, MJ Bianco, P Gerstoft, D D'Orazio, M Garai
The Journal of the Acoustical Society of America 151 (4_Supplement), A266-A266, 2022
2022
Acoustical comfort in university lecture halls: simulating the dynamic role of occupancy
G Fratoni, D De Salvio, D D'Orazio, M Garai
Building Simulation 2021 17, 3704-3711, 2021
2021
How the occupancy affects the reverberation of large university halls
G Fratoni, D De Salvio, D D'Orazio, M Garai
17th International Conference of the International Building Performance …, 2021
2021
Analysis of mechanical and human activity noise in offices using machine learning algorithms
D De Salvio, D d'Orazio, E Rossi, M Garai
e-Forum Acusticum 2020, 2201-2202, 2020
2020
A statistical analysis of noise sources in open plan offices
D D’Orazio, E Rossi, D De Salvio, M Garai
Proc. 23rd International Conference on Acoustics integrating 4th EAA …, 2019
2019
Signal-to-noise ratio in university lecture halls with low intelligibility
D D'Orazio, D De Salvio, L Anderlucci, M Garai
Universitätsbibliothek der RWTH Aachen, 2019
2019
Measuring and identifying background noises in offices during work hours
D D’ORAZIO, E ROSSI, D DE SALVIO, M GARAI
Proceedings of the 23rd International Congress of Acoustics,(Aachen, Germany …, 2019
2019
Tagging noise sources in offices through Machine-Learning techniques
D D’Orazio, D De Salvio, M Garai
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論文 1–20