Recursive nearest neighbor search in a sparse and multiscale domain for comparing audio signals

@article{Sturm2011RecursiveNN,
  title={Recursive nearest neighbor search in a sparse and multiscale domain for comparing audio signals},
  author={Bob L. Sturm and Laurent Daudet},
  journal={Signal Processing},
  year={2011},
  volume={91},
  pages={2836-2851}
}
We investigate recursive nearest neighbor search in a sparse domain at the scale of audio signals. Essentially, to approximate the cosine distance between the signals we make pairwise comparisons between the elements of localized sparse models built from large and redundant multiscale dictionaries of time-frequency atoms. Theoretically, error bounds on these approximations provide efficient means for quickly reducing the search space to the nearest neighborhood of a given data; but we… CONTINUE READING
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Cyclic matching pursuit with 670 multiscale time-frequency dictionaries

  • B. L. Sturm, M. Christensen, Nov
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