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ICA
2007
Springer

Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation

9 years 1 months ago
Modeling Perceptual Similarity of Audio Signals for Blind Source Separation Evaluation
Existing perceptual models of audio quality, such as PEAQ, were designed to measure audio codec performance and are not well suited to evaluation of audio source separation algorithms. The relationship of many other signal quality measures to human perception is not well established. We collected subjective human assessments of distortions encountered when separating audio sources from mixtures of two to four harmonic sources. We then correlated these assessments to 18 machine-measurable parameters. Results show a strong correlation (r=0.96) between a linear combination of a subset of four of these parameters and mean human assessments. This correlation is stronger than that between human assessments and several measures currently in use. Keywords. Source Separation, Perceptual Model, Music, Audio
Brendan Fox, Andrew T. Sabin, Bryan Pardo, Alec Zo
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICA
Authors Brendan Fox, Andrew T. Sabin, Bryan Pardo, Alec Zopf
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