• DocumentCode
    2560799
  • Title

    Approximate lower-bounding functions for the speedup of DTW for melody recognition

  • Author

    Lee, Hong-Ru ; Chen, Ching ; Jang, Jyh-Shing Roger

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Taiwan
  • fYear
    2005
  • fDate
    28-30 May 2005
  • Firstpage
    178
  • Lastpage
    181
  • Abstract
    Conventional methods for melody recognition (or the so-called query by humming) are primarily based on dynamic programming, such as dynamic time warping (DTW). However, the computation load of DTW becomes prohibitively massive when the database has more than, say, 10,000 songs. To lessen the computation while keeping a reasonable recognition rates, this paper present a lower-bound based method that can reduce the computation effectively.
  • Keywords
    acoustic signal processing; approximation theory; dynamic programming; music; approximate lower-bounding function; dynamic programming; dynamic time warping; melody recognition; query by humming; Autocorrelation; Computational complexity; Computer science; Databases; Dynamic programming; Flowcharts; Information retrieval; Laboratories; Microphones; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
  • Print_ISBN
    0-7803-9185-3
  • Type

    conf

  • DOI
    10.1109/CNNA.2005.1543190
  • Filename
    1543190