For the quality evaluation of perceptual audio codecs appropriate measurement algorithms are needed which detect and assess audible artifacts by comparing the output of the codec with the uncoded reference. A filterbank-based perceptual model is presented, which yields better temporal resolution than FFT-based approaches and, thus, allows a more precise modeling of pre- and postmasking and a refined analysis of the envelope within each filter channel.
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