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)
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Authors
- 1. Yunyue Zhu (New York University)
- 2. Dennis Shasha (New York University)
- 3. Xiaojian Zhao (New York University)
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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