Please use this identifier to cite or link to this item:
Title: Geometrical parameter combinations that correlate with early interaural cross-correlation coefficients in a performance hall
Authors: Cheung, LY
Tang, SK 
Issue Date: 2016
Publisher: Acoustical Society of America
Source: Journal of the Acoustical Society of America, 2016, v. 139, no. 5, 4948995, p. 2741-2753 How to cite?
Journal: Journal of the Acoustical Society of America 
Abstract: The previous binaural data of the authors measured inside two multi-purpose performance halls are re-analyzed using regression in this study. It is done in an attempt to establish a framework that can improve the prediction of early interaural cross-correlation coefficients (IACCs), but with as little measurement effort and parameters as possible. The results show that regression models consist of linear combinations of polynomials of geometrical parameters, when used together with the measurement schemes suggested previously by the authors, are sufficient for predicting the IACCs to within engineering tolerance. The predictions are better than those obtained previously by the neural network approach of the authors. The relative importance of the geometrical parameters in the prediction of IACCs is also investigated.
ISSN: 0001-4966
EISSN: 1520-8524
DOI: 10.1121/1.4948995
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.