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Query by Humming - in Action with its Technology Revealed

Summary: Query-by-Humming framed as time-series retrieval; hums and tunes encoded as time-series for indexing. Indexing techniques with invariants to shifting, time scaling, and local warping enable fast, robust search and avoid brute-force DTW. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3554
Venue
SIGMOD
Year
2003
Pagerank
-
Overall Rank
13,928 | 4.45%
DOI
10.1145/872757.872866

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BibTeX Citation

@inproceedings{zhu_sigmod03,
        title = {{Query by Humming - in Action with its Technology Revealed}},
        author = {Zhu, Yunyue and Shasha, Dennis and Zhao, Xiaojian},
        series = {{SIGMOD} '03},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/872757.872866},
        url = {https://dl.acm.org/doi/10.1145/872757.872866},
        year = {2003}
}

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