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ITU-R BS.1387 states a method for objective assessment of perceived audioquality. This Recommendation, known also as PEAQ (Perceptual Evaluation ofAudio Quality) is based on a psychoacoustic model of the human ear and wasstandardized by the International Telecommunications Union as an alternative tosubjective tests, which are expensive and time-consuming processes. PEAQcombines various physiological and psycho-acoustical properties of the humanear to give a measure of the quality difference between a reference audio and atest audio. The reference audio signal could be considered as a distortion-freesource, whereas the test signal is a distorted version of the reference, whichmay have audible artifacts because of compression. The algorithm computes theModel Output Variables (MOVs) which are mapped to a single quality measure,Objective Difference Grade (ODG), using a three-layer perceptron artificialneural network. The ODG estimates the perceived distortion between both audiosignals. In this paper we propose a new metric of low computational complexitycalled FQI (Fuzzy Quality Index) which is based on Fuzzy Logic reasoning andhas been incorporated into the existing PEAQ model to improve its overallperformance. Results show that the modified version slightly outperforms PEAQ.

A novel fuzzy logic-based metric for audio quality assessment: Objective audio quality assessment