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

Abstract

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… (More)
DOI: 10.1016/j.sigpro.2011.03.002

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Cite this paper

@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} }