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BSS eval or peass? Predicting the perception of singing-voice separation

Ward, Dominic, Wierstorf, Hagen, Mason, Russell, Grais, Emad M. and Plumbley, Mark (2018) BSS eval or peass? Predicting the perception of singing-voice separation In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 15-20 Apr 2018, Calgary, Alberta, Canada.

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There is some uncertainty as to whether objective metrics for predicting the perceived quality of audio source separation are sufficiently accurate. This issue was investigated by employing a revised experimental methodology to collect subjective ratings of sound quality and interference of singing-voice recordings that have been extracted from musical mixtures using state-of-the-art audio source separation. A correlation analysis between the experimental data and the measures of two objective evaluation toolkits, BSS Eval and PEASS, was performed to assess their performance. The artifacts-related perceptual score of the PEASS toolkit had the strongest correlation with the perception of artifacts and distortions caused by singing-voice separation. Both the source-to-interference ratio of BSS Eval and the interference-related perceptual score of PEASS showed comparable correlations with the human ratings of interference.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Grais, Emad M.
Date : 13 September 2018
Funders : Engineering and Physical Sciences Research Council (EPSRC)
DOI : 10.1109/ICASSP.2018.8462194
Copyright Disclaimer : © The authors, 2018
Uncontrolled Keywords : Audio quality assessment; Subjective evaluation; Source separation
Related URLs :
Depositing User : Clive Harris
Date Deposited : 13 Mar 2018 15:05
Last Modified : 11 Dec 2018 11:24

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