@inproceedings {Par2056_2019,
	year = {2019},
	author = {van de Par, Steven, van de Par, Steven and Disch, Sascha, Disch, Sascha and Niedermeier, Andreas, Niedermeier, Andreas and Burdiel Pérez, Elena, Burdiel Pérez, Elena and Edler, Bernd, Edler, Bernd},
	title = {Temporal envelope-based psychoacoustic modelling for evaluating non-waveform preserving audio codecs},
	booktitle = {AES Convention},
	date = {08/10/2019},
	pages = {10314},
	URL = {http://www.aes.org/e-lib/browse.cfm?elib=20686 },
	abstract = {Masking models that evaluate the audibility of error signals have a limited validity for assessing perceptual quality of parametric codecs. We propose a model that transforms the audio signal into an Internal Representation (IR) consisting of temporal-envelope modulation patterns. Subsequently, the IR of original and encoded signals are compared between both signals. Even though the audio signals compared may be uncorrelated, leading to a large error signal, they may exhibit a very similar IR and hence are predicted to sound very similar. Additional post-processing stages modeling higher-level auditory perceptual phenomena such as Comodulation Masking Release are included. Predictions are compared against subjective quality assessment results obtained with encoding methods ranging from parametric processing methods up to classic waveform preserving codecs.}
}