Name
Abstract | ||
|---|---|---|
A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were employed to select and validate relevant low level features, and an interpretation of the clustered organization based on action and physical analogy is proposed. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74782-6_53 | AI*IA |
Keywords | Field | DocType |
music expression,sensorial adjective,music expression understanding,joint semantic space,physical analogy,validate relevant low level,machine learning | Semantic similarity,Computer science,Semantic interpretation,Natural language processing,Artificial intelligence,Analogy,Semantic computing,Semantic space | Conference |
Volume | ISSN | Citations |
4733 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Mion | 1 | 13 | 4.16 |
| Giovanni Poli | 2 | 1 | 0.38 |