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QUERY BY HUMMING USING LOCALITY SENSITIVE HASHING FOR MIREX 2008
BibTeX
@MISC{Ryynänen_queryby,
author = {Matti Ryynänen and Anssi Klapuri},
title = {QUERY BY HUMMING USING LOCALITY SENSITIVE HASHING FOR MIREX 2008},
year = {}
}
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Abstract
We submit a method for the MIREX 2008 task “Query by Singing/Humming ” 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 efficiently by using LSH. The candidate melodies are ranked by their distance to the entire query and returned to the user. 1
