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
- 2. Yasushi Sakurai
- 3. Masashi Morimoto
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,578 | Scaling and Time Warping in Time Series Querying | 2005 | VLDB | 4.7061534e-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 |
|---|---|---|---|---|
| 65 | Fast Subsequence Matching in Time-Series Databases | 1994 | SIGMOD | 0.00062029383 |
| 699 | Exact Indexing of Dynamic Time Warping | 2002 | VLDB | 0.00018015254 |
| 1,061 | Warping Indexes with Envelope Transforms for Query by Humming | 2003 | SIGMOD | 0.00014368716 |
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