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2010
Journal Article
Titel
Development and validation of an unintrusive model for predicting the sensation of envelopment arising from surround sound recordings
Abstract
The development of an unintrusive prediction model, developed in association with the QESTRAL project for predicting the sensation of envelopment arising from commercially available five-channel surround sound recordings is described. The model was calibrated using mean envelopment scores obtained from listening tests in which participants used a grading scale defined by audible anchors. For predicting envelopment scores, a number of features based on interaural cross correlation (IACC), Karhunen-Loève transform (KLT), and signal energy levels were extracted from recordings. The partial least squares regression technique was used to build the model and the developed model was validated using listening test scores obtained from a different group of listeners, stimuli, and geographical location. The results showed a high correlation (R = 0.9) between predicted and actual scores obtained from the listening tests.