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The PEASS Toolkit - Perceptual Evaluation methods for Audio Source Separation

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  • معلومة اضافية
    • Contributors:
      Speech and sound data modeling and processing (METISS); Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA); Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes); Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes); Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique; Institut National de Recherche en Informatique et en Automatique (Inria); Medizinische Physik; Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS); French Ministry of Foreign and European Affairs, French Ministry of Higher Education and Research and German Academic Exchange Service under project Procope 20142UD; German Federal Ministry of Education and Research under project number 01EZ0741 ''Model-based hearing systems''; PHC Procope 20142UD
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2010
    • Collection:
      École Centrale Paris: HAL-ECP
    • الموضوع:
      Saint-Malo; France
    • نبذة مختصرة :
      International audience ; 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.
    • Relation:
      inria-00545477; https://inria.hal.science/inria-00545477; https://inria.hal.science/inria-00545477/document; https://inria.hal.science/inria-00545477/file/2010-09-27_LVA_PEASS_emiya.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.E5041DB9