Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/11
Browse
3 results
Search Results
Conference Object Citation - Scopus: 6Klasi̇k Türk Müzi̇ği̇ İ̇çin Otomati̇k Notaya Dökme Si̇stemi̇(Institute of Electrical and Electronics Engineers, 2011) Bozkurt, Barış; Bozkurt, Barış; Gedik, Ali Cenk; Gedik, Ali Cenk; Karaosmanoğlu, M. Kemal; 01. Izmir Institute of Technology; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of EngineeringThis 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.Conference Object Citation - Scopus: 6Music Information Retrieval for Turkish Music: Problems, Solutions and Tools(Institute of Electrical and Electronics Engineers Inc., 2009) Bozkurt, Barış; Gedik, Ali Cenk; Karaosmanoğlu, M. Kemal; Bozkurt, Barış; 01. Izmir Institute of Technology; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of EngineeringBu çalışma bilgi erişimi uygulamaları açısından Türk müziğinin Batı müziği ile farklılıklarını tartışmaya açmaktadır. Türk müziği bilgi erişimi için frekans histogramı kullanımını önermekte ve otomatik karar sesi tespiti, makam sınıflandırma, ses sistemi analizi, kuram – icra uyuşma düzeyinin ölçülmesi gibi uygulamalar için geliştirilmiş bir dizi aracı içeren Makam Aracı (Makam Toolbox) 1.0’ın ve beraberinde büyük bir parametrik veritabanının tanıtımını yapmaktadır.Article Citation - WoS: 13Citation - Scopus: 20Weighing Diverse Theoretical Models on Turkish Maqam Music Against Pitch Measurements: a Comparison of Peaks Automatically Derived From Frequency Histograms With Proposed Scale Tones(Taylor and Francis Ltd., 2009) Bozkurt, Barış; Bozkurt, Barış; Karaosmanoğlu, M. Kemal; Akkoç, Can; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologySince the early 20th century, various theories have been advanced in order to mathematically explain and notate modes of Traditional Turkish music known as maqams. In this article, maqam scales according to various theoretical models based on different tunings are compared with pitch measurements obtained from select recordings of master Turkish performers in order to study their level of match with analysed data. Chosen recordings are subjected to a fully computerized sequence of signal processing algorithms for the automatic determination of the set of relative pitches for each maqam scale: f0 estimation, histogram computation, tonic detection + histogram alignment, and peak picking. For nine well-recognized maqams, automatically derived relative pitches are compared with scale tones defined by theoretical models using quantitative distance measures. We analyse and interpret histogram peaks based on these measures to find the theoretical models most conforming with all the recordings, and hence, with the quotidian performance trends influenced by them.