An Unintrusive Objective Model for Predicting the Sensation of Envelopment Arising from Surround Sound Recordings
Sunish George, Sławomir Krzysztof Zieliński, Francis J. Rumsey, Robert Conetta, Martin Dewhirst, Philip J. B. Jackson, David Meares, Søren Bech · Surrey Research Insight Open Access (The University of Surrey) · 2008
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.