Re: Audio pattern matching


I have thought of cross-correlating all of the patterns searched with
each other, this cross-correlation can be calculated offline, and, can
possibly be used to optimize the realtime 'search' for the best fit
pattern ( in a tree structure or so ).

This seems like a good idea. I would however, try to transform the
feature space first into orthogonal sets using principal component
analysis (PCA). You can then create clusters along each dimension
(starting wit the biggest one first) to reduce your search. If you
feature space is very big you can also reduce it by choosing the
largest components of the PCA.







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Relevant Pages

  • Re: Audio pattern matching
    ... feature space first into orthogonal sets using principal component ... largest components of the PCA. ... Why would you want to do this on a DSP processor? ...
    (comp.dsp)
  • Re: Audio pattern matching
    ... feature space first into orthogonal sets using principal component ... largest components of the PCA. ... correlation algorithm u used. ...
    (comp.dsp)
  • Re: Audio pattern matching
    ... feature space first into orthogonal sets using principal component ... largest components of the PCA. ... Why would you want to do this on a DSP processor? ...
    (comp.dsp)
  • Re: Audio pattern matching
    ... feature space first into orthogonal sets using principal component ... largest components of the PCA. ... Can u tell me how u measured the CPU usage.And about the correlation ... algorithm as in, ...
    (comp.dsp)