• DOI:10.1109/ICASSP.2008.4518093
Corpus ID: 206740963

Query by humming of midi and audio using locality sensitive hashing

@article{Ryynnen2008QueryBH,
  title={Query by humming of midi and audio using locality sensitive hashing},
  author={M. Ryyn{\"a}nen and A. Klapuri},
  journal={2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2008},
  pages={2249-2252}
}

• M. Ryynänen, A. Klapuri
• Published 2008
• Computer Science
• 2008 IEEE International Conference on Acoustics, Speech and Signal Processing

This paper proposes a query by humming method based on locality sensitive hashing (LSH). The method constructs an index of melodic fragments by extracting pitch vectors from a database of melodies. In retrieval, the method automatically transcribes a sung query into notes and then extracts pitch vectors similarly to the index construction. For each query pitch vector, the method searches for similar melodic fragments in the database to obtain a list of candidate melodies. This is performed… Expand

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