Name
Abstract | ||
|---|---|---|
Computer aided musical analysis has led a research stream to explore the description of an entire musical piece by a single value. Combinations of such values, often called global features, have been used for several identification tasks on pieces with symbolic music representation. In this work we extend some ideas that estimate information entropy of sections of musical pieces, to utilize the Pitch Class Profile information entropy for global feature extraction. Two approaches are proposed and tested, the first approach considers musical sections as overlapping sliding onset windows, while the second one as non-overlapping fixed-length time windows. |
Year | Venue | Keywords |
|---|---|---|
2011 | MCM | global feature,pitch class profile information,onset windows,musical piece,fixed-length time windows,entire musical piece,global feature extraction,musical section,musical analysis,estimate information entropy,information entropy |
Field | DocType | Citations |
Musical analysis,Pitch class profile,Musical,Computer-aided,Feature extraction,Speech recognition,Engineering,Entropy (information theory) | Conference | 1 |
PageRank | References | Authors |
0.37 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maximos A. Kaliakatsos-Papakostas | 1 | 67 | 13.26 |
| Michael G. Epitropakis | 2 | 93 | 8.39 |
| M.N. Vrahatis | 3 | 1740 | 151.65 |