• DocumentCode
    3730654
  • Title

    Query by humming based on music phrase segmentation and matching

  • Author

    Menglu Li; Zhijun Zhao; Ping Shi

  • Author_Institution
    College of Information Engineering, Communication University of China, CUC, Beijing, China
  • fYear
    2015
  • Firstpage
    1966
  • Lastpage
    1970
  • Abstract
    Content-based music retrieval technology has been widely used in modern society. The query by humming method by user´s humming matching music segment is a research hotspot in recent years. This paper puts forward a new method based on music phrase segmentation and matching. Music is segmented into phrases according to the note duration and the note interval, and music fragments match humming fragments in phrases. The accuracy of query is improved effectively by music phrase segmentation and matching method.
  • Keywords
    "Feature extraction","Databases","Algorithm design and analysis","Correlation","Multiple signal classification","Image segmentation","Multimedia communication"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/FSKD.2015.7382250
  • Filename
    7382250
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3730654