• DocumentCode
    3777470
  • Title

    Modified Fast advertisement Detection

  • Author

    Hongling Lai; Yanming Zhao

  • Author_Institution
    Communication University of China, Beijing, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    1290
  • Lastpage
    1293
  • Abstract
    This paper puts forward a novel two-steps algorithm to search and detect advertisement signal quickly through broadcast audio signal. It is an improved method based on the Fast Commercial Detection method. The original method takes fixed shift step, and does not take random starting positions of advertisement into account, which may influence the similarity. The modified algorithm in this paper solves the problem by changing the length of frame shift. It is divided into two steps. The first step is rough retrieval which is on the basis of the idea of segmenting audio energy envelope into units. It can pick out the obviously matched signal. The second step is fine retrieval to detect some more complicated situation. Experiment results show that the proposed method can be more accurate.
  • Keywords
    "Signal processing algorithms","Probability","Advertising","Search methods","Libraries","Speech","Speech processing"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7490966
  • Filename
    7490966