USING CLASSIFICATION ALGORITHMS FOR TURKISH MUSIC MAKAM RECOGNITION
| dc.contributor.author | Didem ABİDİN | |
| dc.contributor.author | Övünç ÖZTÜRK | |
| dc.contributor.author | Tuğba ÖZACAR | |
| dc.date.accessioned | 2024-07-24T09:11:14Z | |
| dc.date.available | 2024-07-24T09:11:14Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Turkish Music pieces are used in various studies including makam recognition incomputational music domain. Turkish Music pieces offer a rich content to the researchers because of theirdifferent makam properties. SymbTr is one of the most referred Turkish Music data sets in this area. In thisstudy, the pieces from SymbTr data set belonging to 13 makams are used to execute 10 different machinelearning algorithms for makam recognition and the performances of these algorithms are evaluated. Thesealgorithms were executed on WEKA application environment and the performances in makam recognitionwere obtained with F-measure and recall metrics. The machine learning algorithms performed between 82%and 88%. | |
| dc.identifier.DOI-ID | 10.15317/Scitech.2018.139 | |
| dc.identifier.uri | http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/23527 | |
| dc.language.iso | eng | |
| dc.title | USING CLASSIFICATION ALGORITHMS FOR TURKISH MUSIC MAKAM RECOGNITION | |
| dc.type | Araştırma Makalesi |