dc.contributor.author | Bozkurt, B. | |
dc.contributor.author | Gedik, A.C. | |
dc.contributor.author | Kemal Karaosmano?lu, M. | |
dc.date.accessioned | 2021-02-12T18:43:52Z | |
dc.date.available | 2021-02-12T18:43:52Z | |
dc.date.issued | 2011 | |
dc.identifier.isbn | 9781457704635 | |
dc.identifier.uri | https://doi.org/10.1109/SIU.2011.5929577 | |
dc.identifier.uri | https://hdl.handle.net/11147/9802 | |
dc.description | 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 | en_US |
dc.description.abstract | This study presents an automatic transcription system for Turkish music for the first time in literature. We first discuss the characteristics of Turkish music that are taken into consideration in the design of the system. Then, the following signal processing components of the system are described briefly in relation to each other and explaining their function in the system: f0 estimation, automatic tonic detection and makam recognition based on pitch distributions, frequency and duration quantization. © 2011 IEEE. | en_US |
dc.language.iso | tur | en_US |
dc.relation.isversionof | 10.1109/SIU.2011.5929577 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | An automatic transcription system for Turkish music [Klasi?k Türk müzi?gi? i?çn otomati?k notaya dökme si?stemi?] | en_US |
dc.type | conferenceObject | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 | en_US |
dc.contributor.department | Izmir Isntitute of Technology | en_US |
dc.identifier.startpage | 17 | en_US |
dc.identifier.endpage | 20 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |