• DocumentCode
    1728401
  • Title

    PodCastle and songle: Crowdsourcing-based web services for spoken document retrieval and active music listening

  • Author

    Goto, Masataka ; Ogata, Jun ; Yoshii, Kazuyoshi ; Fujihara, Hiromasa ; Mauch, Matthias ; Nakano, Tomoyasu

  • Author_Institution
    Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba, Japan
  • fYear
    2012
  • Firstpage
    298
  • Lastpage
    299
  • Abstract
    In this talk, we describe two web services for speech and music, PodCastle (Figure 1) and Songle (Figure 2), that collect and amplify voluntary contributions by anonymous users to improve user experiences. Our goal is to provide users with public web services based on speech recognition, music understanding, signal processing, machine learning, and crowdsourcing so that they can experience state-of-the-art research-level technologies through useful services.
  • Keywords
    Web services; information retrieval; music; speech; Web Services; active music listening; machine learning; music understanding; research level technologies; signal processing; speech recognition; spoken document retrieval; Digital audio broadcasting; Games; Multiple signal classification; Signal processing; Speech; Speech recognition; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop (ITA), 2012
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-1473-2
  • Type

    conf

  • DOI
    10.1109/ITA.2012.6181786
  • Filename
    6181786