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• W76832785 abstract "Identifying a musical work from a melodic fragment is a task that most people are able to accomplish with relative ease. For some time now researchers have worked to give computers this ability as well, as it would be the cornerstone of any query-by-humming system. To accomplish this, it i s reasonable to study how humans are able to perform this task, and to assess what features we use to determine melodic similarity. Research has shown that melodic contour is an important feature in determining melodic similarity, but it i s also clear that rhythmic information is important as well. The goal of this research is to explore what variation of contour and rhythmic information can result in the most efficient, robust, and scalable representation for melody. We intend for this to be the basis of a query-by-humming system that will be used to test the validity of our proposed representation." @default.
• W76832785 created "2016-06-24" @default.
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• W76832785 date "2000-10-23" @default.
• W76832785 modified "2023-09-23" @default.
• W76832785 title "Analysis of a Contour-based Representation for Melody." @default.
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• W76832785 doi "https://doi.org/10.5072/zenodo.243896" @default.
• W76832785 hasPublicationYear "2000" @default.
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