• DocumentCode
    2700694
  • Title

    Two-Stage Method for Specific Audio Retrieval

  • Author

    Wei-Qiang Zhang ; Jia Liu

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    4
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    Specific audio retrieval, also referred as similarity-based audio retrieval, means to detect and locate a given query audio segment in a long stored audio signal. In this paper, we proposed a two-stage method for specific audio retrieval. In the first stage, the histogram pruning algorithm is used for coarse detection. In the second stage, the partial distance technique is used for fine verification and localization. Experimental results show that the two-stage coarse-to-fine method offers fast search speed and improves the robustness to additive noise and compression encoding.
  • Keywords
    audio coding; data compression; query processing; additive noise; compression encoding; histogram pruning algorithm; partial distance technique; query audio segment; similarity-based audio retrieval; specific audio retrieval; two-stage coarse-to-fine method; two-stage method; Additive noise; Content based retrieval; Educational technology; Encoding; Histograms; Indexing; Information retrieval; Music information retrieval; Noise robustness; Streaming media; Audio retrieval; histogram pruning; two-stage method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.367169
  • Filename
    4218043