• DocumentCode
    3499651
  • Title

    Similarity matching of continuous melody contours for humming querying of melody databases

  • Author

    Zhu, Yonpvei ; Kankanhalli, Mohan ; Tian, Qi

  • Author_Institution
    Labs. for Inf. Technol., Nat. Univ. of Singapore, Singapore
  • fYear
    2002
  • fDate
    9-11 Dec. 2002
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. In this paper, we present a novel melody similarity matching technique, which is based on continuous melody contour. We introduce a contour alignment technique, which addresses the robustness and efficiency issues. We also present a new melody similarity metric, which is performed directly on continuous melody contours of the query data. This approach cleanly separates the alignment and similarity measurement in the retrieval process. Our melody alignment method can reduce the matching candidate to 1.7% with 90% correct alignment rate. The overall retrieval system achieved 88% correct retrieval in the top 20 rank lists.
  • Keywords
    audio databases; audio signal processing; music; pattern matching; query formulation; alignment measurement; continuous melody contour; contour alignment technique; humming querying; melody database; melody similarity matching; melody similarity metric; melody slope; query-by-humming; retrieval process; similarity measurement; Content based retrieval; Databases; Dynamic programming; Information technology; Laboratories; Music information retrieval; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2002 IEEE Workshop on
  • Print_ISBN
    0-7803-7713-3
  • Type

    conf

  • DOI
    10.1109/MMSP.2002.1203293
  • Filename
    1203293