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Apparatus and method for automatic dissection of segmented audio signals

  • US 7,962,330 B2
  • Filed: 11/10/2004
  • Issued: 06/14/2011
  • Est. Priority Date: 11/12/2003
  • Status: Expired due to Fees
First Claim
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1. An apparatus for automatic dissection, weighting and ranking of segmented audio signals, the apparatus comprising:

  • a content detection means that is configured to receive a segmented audio signal, to automatically detect programs in the segmented audio signal and to automatically segment the programs into contents, the contents being important events comprised in the programs;

    a program weighting means for weighting each program comprised in the audio signal based on the contents of the respective program detected by the content detection means;

    a viewing statistic database comprising raw audio signals previously selected by a user and/or acoustic features extracted from audio signals previously selected by a user, wherein the program weighting means uses information stored in the viewing statistic database for weighting each program;

    a program ranking means for identifying programs of the same category and ranking the programs based on a weighting result for each program provided by the program weighting means; and

    a cross category ranking means for identifying weighted programs which belong to different categories, normalizing the weighted programs and ranking the normalized and weighted programs based on a normalization result,the normalization being performed by the cross category ranking means according to the following formula;


    Normalized_Ranking_Score1(c,i)=function(W(1)I(1)/F(c,1)+W(2)I(2)/F(c,2)+ . . . +W(N)I(N)/F(c,N)), with1, 2, . . . , N being an index identifying the contents of a respective program,W(N) being a weighting vector comprising weighting factors for the contents 1 to N,I(N) being a content vector comprising the distribution of contents 1-N in the respective program,c being a category index,i being a program index in category c, andF(c,N) being a normalization factor corresponding to content N in category c, wherein the normalization factor F(c,N) is defined as the average duration or occurrence of content N for programs of category c.

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