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The PEASS Toolkit - Perceptual Evaluation methods for Audio Source Separation

Valentin Emiya 1 Emmanuel Vincent 1 Niklas Harlander 2 Volker Hohmann 2 
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We present the PEASS Toolkit designed for the perceptual evaluation of audio source separation. It includes a MUSHRA-based listening-test protocol adapted for the subjective evaluation of audio source separation; a set of subjective measures - sounds and subjective scores - obtained by applying the proposed test protocol; and a set of auditory-motivated objective measures based on a new algorithm to decompose the estimation error into some distortion components (target distortion, interference, artefacts) and on integrating the outputs of the auditory-based objective measure PEMO-Q. This presentation will be the opportunity to detail the recent release of the PEASS toolkit, as well as its use in the Signal Separation Evaluation Campaign (SiSEC) in 2010.
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Submitted on : Wednesday, December 7, 2011 - 2:03:14 PM
Last modification on : Friday, February 4, 2022 - 3:19:33 AM
Long-term archiving on: : Thursday, March 8, 2012 - 2:20:16 AM


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  • HAL Id : inria-00545477, version 1


Valentin Emiya, Emmanuel Vincent, Niklas Harlander, Volker Hohmann. The PEASS Toolkit - Perceptual Evaluation methods for Audio Source Separation. 9th Int. Conf. on Latent Variable Analysis and Signal Separation, Sep 2010, Saint-Malo, France. 2010. ⟨inria-00545477⟩



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