A New Perceptual Quality Measure for Bit-Rate Reduced Audio

For the quality evaluation of perceptual audio codecs, appropriate measurement algorithms are needed, which detect and assess audible artefacts by comparing the output of the codec with the uncoded reference. A filter bank based perceptual model is presented, which yields better temporal resolution than FFT-based approaches and thus allows a more precise modelling of preand post-masking and a refined analysis of the envelopes within each filter channel.