Name
Abstract | ||
|---|---|---|
In order to train and test algorithms that can automati- cally detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering manual annotations for 49 real-world mu- sic fragments containing different drum event types. Apart from the drum events, the beat was also anno- tated. The annotators were experienced drummers or percussionists. This paper is primarily aimed towards other drum detection researchers, but might also be of interest to others dealing with automatic music analysis, manual annotation and data gathering. Its purpose is threefold: providing annotation data for algorithm train- ing and evaluation, describing a practical way of setting up a drum annotation task, and reporting issues that came up during the annotation sessions while at the same time providing some thoughts on important points that could be taken into account when setting up similar tasks in the future. |
Year | Venue | Keywords |
|---|---|---|
2005 | ISMIR 2013 | annotation,data gathering,drum detection,music analysis,ground truth |
Field | DocType | Citations |
Data collection,Annotation,Music theory,Test algorithm,Computer science,Manual annotation,Drum,Speech recognition,Ground truth,Polyphony | Conference | 6 |
PageRank | References | Authors |
0.85 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koen Tanghe | 1 | 20 | 2.57 |
| Micheline Lesaffre | 2 | 130 | 16.49 |
| Sven Degroeve | 3 | 173 | 11.81 |
| Marc Leman | 4 | 6 | 0.85 |
| Bernard De Baets | 5 | 2994 | 300.39 |
| Jean-pierre Martens | 6 | 91 | 11.81 |