DBScholar

Back to papers

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)

Paper ID
3644
Venue
SIGMOD
Year
2004
Pagerank
5.4452017e-05
Overall Rank
8,353 | 42.70%
DOI
10.1145/1007568.1007677

Incoming Non-self Citations Over Time

Authors

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
7,402 Scaling and Time Warping in Time Series Querying 2005 VLDB 5.6250511e-05
Previous Page 1 / 1 Next

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
41 Fast Subsequence Matching in Time-Series Databases 1994 SIGMOD 0.00046675394
601 Exact Indexing of Dynamic Time Warping 2002 VLDB 0.00015870156
1,046 Warping Indexes with Envelope Transforms for Query by Humming 2003 SIGMOD 0.00012440091
Previous Page 1 / 1 Next

Semantically Similar Papers