AES E-Library

T. Biberger, J. Fleßner, R. Huber, and ST. D.. Ewert, "An Objective Audio Quality Measure Based on Power and Envelope Power Cues," J. Audio Eng. Soc., vol. 66, no. 7/8, pp. 578-593, (2018 July.). doi: https://doi.org/10.17743/jaes.2018.0031 T. Biberger, J. Fleßner, R. Huber, and ST. D.. Ewert, "An Objective Audio Quality Measure Based on Power and Envelope Power Cues," J. Audio Eng. Soc., vol. 66 Issue 7/8 pp. 578-593, (2018 July.). doi: https://doi.org/10.17743/jaes.2018.0031
Abstract: The generalized power spectrum model (GPSM), which has been shown to account for a large number of psychoacoustic and speech intelligibility (SI) experiments, was extended to assess audio quality. Like the GPSM, the suggested audio quality model, GPSMq, combines features from the power spectrum model (PSM) and envelope power-spectrum model (EPSM). GPSMq utilizes signal-to-noise ratios (SNRs) in the power and envelope power domains to model the addition or removal of energy by the signal processing under test. Four audio quality databases that introduce linear and nonlinear distortions to music and speech signals were assessed to cover a large variety of distortions cases. GPSMq provided better overall prediction performance than other state-of-the-art auditory-model-based objective quality measures. The results demonstrate that the power and envelope power SNR metric is appropriate for predicting audio quality for a variety of signal distortions in addition to psychoacoustics and SI. This supports the notion that the auditory system extracts a universal set of auditory features to be analyzed in a task-dependent decision stage.

@article{biberger2018an,
author={biberger, thomas and fleßner, jan-hendrik and huber, rainer and ewert, stephan d.},
journal={journal of the audio engineering society},
title={an objective audio quality measure based on power and envelope power cues},
year={2018},
volume={66},
number={7/8},
pages={578-593},
doi={https://doi.org/10.17743/jaes.2018.0031},
month={july},} @article{biberger2018an,
author={biberger, thomas and fleßner, jan-hendrik and huber, rainer and ewert, stephan d.},
journal={journal of the audio engineering society},
title={an objective audio quality measure based on power and envelope power cues},
year={2018},
volume={66},
number={7/8},
pages={578-593},
doi={https://doi.org/10.17743/jaes.2018.0031},
month={july},
abstract={the generalized power spectrum model (gpsm), which has been shown to account for a large number of psychoacoustic and speech intelligibility (si) experiments, was extended to assess audio quality. like the gpsm, the suggested audio quality model, gpsmq, combines features from the power spectrum model (psm) and envelope power-spectrum model (epsm). gpsmq utilizes signal-to-noise ratios (snrs) in the power and envelope power domains to model the addition or removal of energy by the signal processing under test. four audio quality databases that introduce linear and nonlinear distortions to music and speech signals were assessed to cover a large variety of distortions cases. gpsmq provided better overall prediction performance than other state-of-the-art auditory-model-based objective quality measures. the results demonstrate that the power and envelope power snr metric is appropriate for predicting audio quality for a variety of signal distortions in addition to psychoacoustics and si. this supports the notion that the auditory system extracts a universal set of auditory features to be analyzed in a task-dependent decision stage.},}

TY - paper
TI - An Objective Audio Quality Measure Based on Power and Envelope Power Cues
SP - 578 EP - 593
AU - Biberger, Thomas
AU - Fleßner, Jan-Hendrik
AU - Huber, Rainer
AU - Ewert, Stephan D.
PY - 2018
JO - Journal of the Audio Engineering Society
IS - 7/8
VO - 66
VL - 66
Y1 - July 2018 TY - paper
TI - An Objective Audio Quality Measure Based on Power and Envelope Power Cues
SP - 578 EP - 593
AU - Biberger, Thomas
AU - Fleßner, Jan-Hendrik
AU - Huber, Rainer
AU - Ewert, Stephan D.
PY - 2018
JO - Journal of the Audio Engineering Society
IS - 7/8
VO - 66
VL - 66
Y1 - July 2018
AB - The generalized power spectrum model (GPSM), which has been shown to account for a large number of psychoacoustic and speech intelligibility (SI) experiments, was extended to assess audio quality. Like the GPSM, the suggested audio quality model, GPSMq, combines features from the power spectrum model (PSM) and envelope power-spectrum model (EPSM). GPSMq utilizes signal-to-noise ratios (SNRs) in the power and envelope power domains to model the addition or removal of energy by the signal processing under test. Four audio quality databases that introduce linear and nonlinear distortions to music and speech signals were assessed to cover a large variety of distortions cases. GPSMq provided better overall prediction performance than other state-of-the-art auditory-model-based objective quality measures. The results demonstrate that the power and envelope power SNR metric is appropriate for predicting audio quality for a variety of signal distortions in addition to psychoacoustics and SI. This supports the notion that the auditory system extracts a universal set of auditory features to be analyzed in a task-dependent decision stage.