Preliminary guidelines for subjective evalutation of audio source separation algorithms

Abstract : Evaluating audio source separation algorithms means rating the quality or intelligibility of separated source signals. While objective criteria fail to account for all auditory phenomena so far, precise subjective ratings can be obtained by means of listening tests. In practice, the accuracy and the reproducibility of these tests depend on several design issues. In this paper, we discuss some of these issues based on ongoing research in other areas of audio signal processing. We propose preliminary guidelines to evaluate the basic audio quality of separated sources and provide an example of their application using a free Matlab graphical interface.
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https://hal.inria.fr/inria-00544288
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Emmanuel Vincent, Maria Jafari, Mark Plumbley. Preliminary guidelines for subjective evalutation of audio source separation algorithms. UK ICA Research Network Workshop, Sep 2006, Southampton, United Kingdom. ⟨inria-00544288⟩

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