Title :
An automatic transcription system for Turkish music
Author :
Barış Bozkurt;Ali Cenk Gedik;M. Kemal Karaosmanoğlu
Author_Institution :
Elektrik ve Elektronik Mü
fDate :
4/1/2011 12:00:00 AM
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.
Keywords :
"Multiple signal classification","Histograms","Signal processing","Conferences","Patents","Rhythm"
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Print_ISBN :
978-1-4577-0462-8
DOI :
10.1109/SIU.2011.5929576