• DocumentCode
    642522
  • Title

    The 2013 Signal Separation Evaluation Campaign

  • Author

    Ono, Nobutaka ; Koldovsky, Zbynek ; Miyabe, Shigeki ; Ito, Noboru

  • Author_Institution
    Nat. Inst. of Inf., Grad. Univ. for Adv. Studies, Tokyo, Japan
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper summarizes the 2013 community-based Signal Separation Evaluation Campaign (SiSEC 2013). Five speech and music datasets were contributed, including two new datasets: “Two-channel noisy recordings of a moving speaker within a limited area” and “Asynchronous recordings of speech mixtures”. The participants addressed one or more datasets out of five, and the results for each task were evaluated using different objective performance criteria. We overview the campaign specifications such as the tasks, datasets, and evaluation criteria. We also summarize the evaluated performance of the submitted systems, and discuss organization strategies for future campaigns.
  • Keywords
    source separation; speech processing; 2013 community-based signal separation evaluation campaign; SiSEC 2013; asynchronous recordings; campaign specifications; moving speaker; objective performance criteria; organization strategies; speech mixtures; two-channel noisy recordings; Estimation; Microphones; Microwave integrated circuits; Noise; Noise measurement; Source separation; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on
  • Conference_Location
    Southampton
  • ISSN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2013.6661988
  • Filename
    6661988