• DocumentCode
    2554497
  • Title

    Analysis of Sound Features for Music Timbre Recognition

  • Author

    Zhang, Xin ; Ras, Z.W.

  • Author_Institution
    Univ. of North Carolina at Charlotte, Charlotte
  • fYear
    2007
  • fDate
    26-28 April 2007
  • Firstpage
    3
  • Lastpage
    8
  • Abstract
    Recently, communication, digital music creation, and computer storage technology has led to the dynamic increasing of online music repositories in both number and size, where automatic content-based indexing is critical for users to identify possible favorite music pieces. Timbre recognition is one of the important subtasks for such an indexing purpose. Lots of research has been carried out in exploring new sound features to describe the characteristics of a musical sound. The moving picture expert group (MPEG) provides a standard set of multimedia features, including low level acoustical features based on latest research in this area. This paper introduces our newly designed temporal features used for automatic indexing of musical sounds and evaluates them with MPEG7 descriptors, and other popular features.
  • Keywords
    acoustic signal processing; audio signal processing; indexing; music; MPEG7 descriptors; Moving Picture Expert Group; acoustical features; computer storage; content-based indexing; digital music; multimedia features; music timbre recognition; musical sound; online music repository; sound feature analysis; temporal features; Cepstral analysis; Computer science; Discrete Fourier transforms; Fourier transforms; Frequency; Indexing; Instruments; MPEG 7 Standard; Music; Timbre;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Ubiquitous Engineering, 2007. MUE '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7695-2777-9
  • Type

    conf

  • DOI
    10.1109/MUE.2007.85
  • Filename
    4197241