An Unintrusive Objective Model for Predicting the Sensation of Envelopment Arising from Surround Sound Recordings
George, S, Zielinski, S, Rumsey, F, Conetta, R, Dewhirst, M, Jackson, PJB, Meares, D and Bech, S (2008) An Unintrusive Objective Model for Predicting the Sensation of Envelopment Arising from Surround Sound Recordings
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Official URL: http://www.aes.org/
This paper describes the development of an unintrusive objective model, developed independently as a part of the QESTRAL project, for predicting the sensation of envelopment arising from commercially available 5-channel surround sound recordings. The model was calibrated using subjective scores obtained from listening tests that used a grading scale defined by audible anchors. For predicting subjective scores, a number of features based on Interaural Cross Correlation (IACC), Karhunen-Loeve Transform (KLT) and signal energy levels were extracted from recordings. The ridge regression technique was used to build the objective model and a calibrated model was validated using a listening test scores database obtained from a different group of listeners, stimuli and location. The initial results showed a high correlation between predicted and actual scores obtained from the listening tests.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||The papers at this Convention have been selected on the basis of a submitted abstract and extended précis that have been peer reviewed by at least two qualified anonymous reviewers. This convention paper has been reproduced from the author's advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be obtained by sending request and remittance to Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA; also see www.aes.org. All rights reserved. Reproduction of this paper, or any portion thereof, is not permitted without direct permission from the Journal of the Audio Engineering Society.|
|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
Faculty of Arts and Human Sciences > School of Arts > Sound Recording
|Deposited By:||Symplectic Elements|
|Deposited On:||03 May 2012 11:20|
|Last Modified:||19 May 2013 02:34|
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