Evaluating Physical Measures for Predicting the Perceived Quality of Blindly Separated Audio Source Signals

Kastner T. Evaluating Physical Measures for Predicting the Perceived Quality of Blindly Separated Audio Source Signals. In: AES Convention 127. Audio Engineering Society; 2009. Paper 7824. Available from: https://aes.org/publications/elibrary-page/?id=15020

@inproceedings{Kastner2009_15020,
  author = {Kastner, Thorsten},
  title = {{Evaluating Physical Measures for Predicting the Perceived Quality of Blindly Separated Audio Source Signals}},
  booktitle = {AES Convention 127},
  note = {Paper 7824},
  year = {2009},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15020}
}

TY  - CPAPER
TI  - Evaluating Physical Measures for Predicting the Perceived Quality of Blindly Separated Audio Source Signals
AU  - Kastner, Thorsten
T2  - AES Convention 127
M1  - Paper 7824
PY  - 2009
DA  - 2009/10/06
UR  - https://aes.org/publications/elibrary-page/?id=15020
PB  - Audio Engineering Society
LA  - en
AB  - For blind source separation (BSS) based applications where the aim is the reproduction of the separated signals, the perceived quality of the produced audio signals is an important key factor to rate these systems. In this paper several signal-derived features are compared to assess their relevance in reflecting the perceived audio quality of BSS signals. The most relevant features are combined in a multiple linear regression model to predict the perceptual quality. In order to cover a large variety of source signals and different algorithms, the reference ratings are obtained from extensive listening tests rating the BSS algorithms that participated in the Stereo Source Separation Campaigns 2007 (SASSEC) and 2008 (SiSEC). Results are presented for predicting the perceived quality of SiSEC items based on a model that was calibrated using SASSEC material.
ER  -