Accelerating Query-by-Humming on GPU

@inproceedings{Ferraro2009AcceleratingQO,
  title={Accelerating Query-by-Humming on GPU},
  author={Pascal Ferraro and Pierre Hanna and Laurent Imbert and Thomas Izard},
  booktitle={ISMIR 2009},
  year={2009}
}
Searching for similarities in large musical databases has become a common procedure. Local alignment methods, based on dynamic programming, explore all the possible matchings between two musical pieces; and as a result return the optimal local alignment. Unfortunately these very powerful methods have a very high computational cost. The exponential growth of musical databases makes exact alignment algorithm unrealistic for searching similarities. Alternatives have been proposed in bioinformatics… CONTINUE READING
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