Name
Abstract | ||
|---|---|---|
Automatic extraction of frequent repeated patterns in music material is an interesting problem. This paper presents an effective approach of unsupervised frequent pattern discovery method from symbolic music sources. Patterns are discovered even if they are transposed. Experiments on some songs suggest that our approach is promising, specially when dealing with songs that include non-exact repetitions. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04125-9_30 | ISMIS |
Keywords | Field | DocType |
interesting problem,symbolic music source,effective approach,non-exact repetition,automatic extraction,mining musical patterns,frequent repeated pattern,unsupervised frequent pattern discovery,music material,transposed motives | Data mining,Musical,Computer science,Speech recognition | Conference |
Volume | ISSN | Citations |
5722 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Berzal Galiano | 1 | 397 | 39.14 |
| Waldo Fajardo | 2 | 42 | 7.67 |
| Aída Jiménez | 3 | 45 | 5.50 |
| Miguel Molina-Solana | 4 | 48 | 12.80 |