SoundCompass: A Practical Query-by-Humming System
Summary: SoundCompass enables query-by-humming for music retrieval with time normalization, timeseries scalability, and subsequence matching. It uses vector-based features and k-NN with multi-dimensional indices for accurate similarity search, validated on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Naoko Kosugi (Nippon Telegraph and Telephone Corporation)
- 2. Yasushi Sakurai (Nippon Telegraph and Telephone Corporation)
- 3. Masashi Morimoto (Nippon Telegraph and Telephone Corporation)
BibTeX Citation
@inproceedings{kosugi_sigmod04,
title = {{SoundCompass: A Practical Query-by-Humming System}},
author = {Kosugi, Naoko and Sakurai, Yasushi and Morimoto, Masashi},
series = {{SIGMOD} '04},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1007568.1007677},
url = {https://dl.acm.org/doi/10.1145/1007568.1007677},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,541 | Scaling and Time Warping in Time Series Querying | 2005 | VLDB | 5.4988401e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 42 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00045773967 |
| 613 | Exact Indexing of Dynamic Time Warping | 2002 | VLDB | 0.00015570505 |
| 1,070 | Warping Indexes with Envelope Transforms for Query by Humming | 2003 | SIGMOD | 0.00012174775 |
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