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

Summary: Hum-a-song casts query-by-humming as 2D (pitch, duration) time-series subsequence matching. Its SMBGT dynamic program supports noise, sequence-dependent gap-range tolerances, variable match lengths, and optional match-count bounds. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10626
Venue
VLDB
Year
2012
Pagerank
5.2308428e-05
Overall Rank
9,616 | 34.26%
DOI
10.14778/2367502.2367534

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kotsifakos_vldb12,
        title = {{Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System}},
        author = {Kotsifakos, Alexios and Papapetrou, Panagiotis and Hollmen, Jaakko and Gunopulos, Dimitrios and Athitsos, Vassilis and Kollios, George},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1930--1933},
        doi = {10.14778/2367502.2367534},
        url = {https://doi.org/10.14778/2367502.2367534},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,295 CIVET: Exploring Compact Index for Variable-Length Subsequence Matching on Time Series 2024 VLDB 5.0723324e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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