The current ITU?s standard for objective assessment of audio quality, Perceptual Evaluation of Audio Quality (PEAQ), has some shortcomings that prevent its reliable use for a number of codification conditions and some kind of signals. The paper aims to improve the PEAQ performance through the following proposals: 1- modifications in the manner the signals are submitted to the assessment; 2- improvement of existing Model Output Variables (MOVs); 3- creation of new MOVs; 4- determination of a better architecture for the neural network that maps the MOVs into a single estimate for the subjective score. The results are compared to those ones achieved by PEAQ.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is free for AES members and E-Library subscribers.