@InProceedings{8553035,
  author = {A. Lapini and C. Bartalucci and F. Borchi and F. Argenti and M. Carfagni},
  booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
  title = {Audio Virtualization of Facade Acoustic Insulation by Convex Optimization},
  year = {2018},
  pages = {2185-2189},
  abstract = {In this study, modeling of facade acoustic insulation is addressed. The objective is predicting the acoustic behaviour of a virtual facade on an incoming audio signal based on measurements made on an actual facade and on Standardized Level Differences (D ri T) curves known for both of them. In this way, a fast and concise characterization of acoustic insulation performance from outside noise can be achieved. The problem is cast as an inverse one, in which the acoustic impulse response of the actual facade must be substituted by the virtual one, taking into account, however, the constraints that are derived from the DnT analysis. Experimental results are shown to demostrate the effectiveness of the proposed procedure.},
  keywords = {acoustic signal processing;architectural acoustics;audio signal processing;convex programming;noise abatement;transient response;facade acoustic insulation;convex optimization;acoustic behaviour;virtual facade;incoming audio signal;Standardized Level Differences;acoustic insulation performance;acoustic impulse response;audio virtualization;DnT analysis;Acoustics;Convex functions;Insulation;Buildings;Europe;Signal processing;Industrial engineering;Audio virtualization;Acoustic insulation;Standardized Level Differences;Convex optimization},
  doi = {10.23919/EUSIPCO.2018.8553035},
  issn = {2076-1465},
  month = {Sep.},
}

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The objective is predicting the acoustic behaviour of a virtual facade on an incoming audio signal based on measurements made on an actual facade and on Standardized Level Differences (D ri T) curves known for both of them. In this way, a fast and concise characterization of acoustic insulation performance from outside noise can be achieved. The problem is cast as an inverse one, in which the acoustic impulse response of the actual facade must be substituted by the virtual one, taking into account, however, the constraints that are derived from the DnT analysis. Experimental results are shown to demostrate the effectiveness of the proposed procedure.","keywords":"acoustic signal processing;architectural acoustics;audio signal processing;convex programming;noise abatement;transient response;facade acoustic insulation;convex optimization;acoustic behaviour;virtual facade;incoming audio signal;Standardized Level Differences;acoustic insulation performance;acoustic impulse response;audio virtualization;DnT analysis;Acoustics;Convex functions;Insulation;Buildings;Europe;Signal processing;Industrial engineering;Audio virtualization;Acoustic insulation;Standardized Level Differences;Convex optimization","doi":"10.23919/EUSIPCO.2018.8553035","issn":"2076-1465","month":"Sep.","bibtex":"@InProceedings{8553035,\n author = {A. Lapini and C. Bartalucci and F. Borchi and F. Argenti and M. Carfagni},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {Audio Virtualization of Facade Acoustic Insulation by Convex Optimization},\n year = {2018},\n pages = {2185-2189},\n abstract = {In this study, modeling of facade acoustic insulation is addressed. The objective is predicting the acoustic behaviour of a virtual facade on an incoming audio signal based on measurements made on an actual facade and on Standardized Level Differences (D ri T) curves known for both of them. In this way, a fast and concise characterization of acoustic insulation performance from outside noise can be achieved. The problem is cast as an inverse one, in which the acoustic impulse response of the actual facade must be substituted by the virtual one, taking into account, however, the constraints that are derived from the DnT analysis. 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