An Objective Audio Quality Measure Based on Power and Envelope Power Cues

Biberger T, Fleßner JH, Huber R, Ewert SD. An Objective Audio Quality Measure Based on Power and Envelope Power Cues. J Audio Eng Soc. 2018;66(7/8):578-593. doi:10.17743/jaes.2018.0031

@article{Biberger2018_19707,
  author = {Biberger, Thomas and Fleßner, Jan-Hendrik and Huber, Rainer and Ewert, Stephan D.},
  title = {{An Objective Audio Quality Measure Based on Power and Envelope Power Cues}},
  journal = {Journal of the Audio Engineering Society},
  volume = {66},
  number = {7/8},
  pages = {578--593},
  year = {2018},
  month = jul,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2018.0031},
  url = {https://doi.org/10.17743/jaes.2018.0031}
}

TY  - JOUR
TI  - An Objective Audio Quality Measure Based on Power and Envelope Power Cues
AU  - Biberger, Thomas
AU  - Fleßner, Jan-Hendrik
AU  - Huber, Rainer
AU  - Ewert, Stephan D.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 66
IS  - 7/8
SP  - 578
EP  - 593
PY  - 2018
DA  - 2018/07/06
DO  - 10.17743/jaes.2018.0031
UR  - https://doi.org/10.17743/jaes.2018.0031
PB  - Audio Engineering Society
LA  - en
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.
ER  -