Temporal Envelope-Based Psychoacoustic Modelling for Evaluating Non-Waveform Preserving Audio Codecs
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S. van de Par, S. Disch, A. Niedermeier, E. Burdiel Pérez, and B. Edler, "Temporal Envelope-Based Psychoacoustic Modelling for Evaluating Non-Waveform Preserving Audio Codecs," Paper 10314, (2019 October.). doi:
S. van de Par, S. Disch, A. Niedermeier, E. Burdiel Pérez, and B. Edler, "Temporal Envelope-Based Psychoacoustic Modelling for Evaluating Non-Waveform Preserving Audio Codecs," Paper 10314, (2019 October.). doi:
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.
@article{van de par2019temporal,
author={van de par, steven and disch, sascha and niedermeier, andreas and burdiel pérez, elena and edler, bernd},
journal={journal of the audio engineering society},
title={temporal envelope-based psychoacoustic modelling for evaluating non-waveform preserving audio codecs},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{van de par2019temporal,
author={van de par, steven and disch, sascha and niedermeier, andreas and burdiel pérez, elena and edler, bernd},
journal={journal of the audio engineering society},
title={temporal envelope-based psychoacoustic modelling for evaluating non-waveform preserving audio codecs},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
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.},}
TY - paper
TI - Temporal Envelope-Based Psychoacoustic Modelling for Evaluating Non-Waveform Preserving Audio Codecs
SP -
EP -
AU - van de Par, Steven
AU - Disch, Sascha
AU - Niedermeier, Andreas
AU - Burdiel Pérez, Elena
AU - Edler, Bernd
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
TY - paper
TI - Temporal Envelope-Based Psychoacoustic Modelling for Evaluating Non-Waveform Preserving Audio Codecs
SP -
EP -
AU - van de Par, Steven
AU - Disch, Sascha
AU - Niedermeier, Andreas
AU - Burdiel Pérez, Elena
AU - Edler, Bernd
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
AB - 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.
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.
Authors:
van de Par, Steven; Disch, Sascha; Niedermeier, Andreas; Burdiel Pérez, Elena; Edler, Bernd
Affiliations:
University of Oldenburg, Oldenburg, Germany; Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany; Friedrich Alexander University, Erlangen-Nürnberg, Germany; Fraunhofer HAS, Oldenburg, Germany(See document for exact affiliation information.)
AES Convention:
147 (October 2019)
Paper Number:
10314
Publication Date:
October 8, 2019Import into BibTeX
Subject:
Product Development
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=20686