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BSS EVAL OR PEASS? PREDICTING THE PERCEPTION OF SINGING-VOICE SEPARATION

Citation Author(s):
Hagen Wierstorf, Russell D. Mason, Emad M. Grais, Mark D. Plumbley
Submitted by:
Dominic Ward
Last updated:
19 April 2018 - 10:17am
Document Type:
Poster
Document Year:
2018
Event:
Presenters:
Emad M. Grais
Paper Code:
3314
 

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.

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