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Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System

Summary: Proposes Hum-a-song, a QBH system mapping hummed queries to 2D pitch-duration time series for subsequence matching in music corpora. Introduces SMBGT, a robust tolerance-driven DP method handling gaps and variable match lengths; open-source non-commercial. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10438
Venue
VLDB
Year
2012
Pagerank
4.3441378e-05
Overall Rank
9,425 | 34.44%
DOI
-

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Rank Citing Paper Year Venue Pagerank
11,022 CIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series 2024 VLDB 4.1945683e-05
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