• DocumentCode
    926215
  • Title

    Finding structure in audio for music information retrieval

  • Author

    Pardo, Bryan

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • Volume
    23
  • Issue
    3
  • fYear
    2006
  • fDate
    5/1/2006 12:00:00 AM
  • Firstpage
    126
  • Lastpage
    132
  • Abstract
    This paper presents a brief overview of recent approaches to two problems in music information retrieval: query by example and automated source separation. It describes the challenges inherent in musical query by example and the systems that take very different approaches to the problem. The paper also explores approaches to source separation in a musical context, focusing on systems that take distinct approaches to the problem. Finally, it comments about the future directions for digital signal processing (DSP) research in the context of music information retrieval.
  • Keywords
    audio signal processing; information retrieval; source separation; automated source separation; digital signal processing research; music information retrieval; musical context; musical query; Audio recording; Content based retrieval; Digital signal processing; Instruments; Multiple signal classification; Music information retrieval; Portable media players; Rhythm; Signal mapping; Source separation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2006.1628889
  • Filename
    1628889