Makams are well-defined modes of classical Turkish music. They can be taken as the
Turkish music counterparts of Western music tonal structures at a certain level.
Nevertheless, makams have additional features such as the usage of specific notes
resulting from their different architecture and the special use of scales (i.e. progression).
The main goal of this study is to construct a platform for identifying makams through a
computer program by proposing a machine learning mechanism. There are restrictionson the mechanism related to the characteristics of the task. Such a mechanism should
represent real-time sequential input with continuous values, should handle possible
errors in this input and show immediate learning with limited data. These restrictions are
valid and necessary for an analogy with the act of listening to music. A Boltzmann
machine, modified for this purpose is designed, implemented and used in this study as
this learning mechanism. Two characteristics of this study define its significance. First,
this study is on the structural features of makams of classical Turkish music. Second,
the identifying mechanism is a Boltzmann machine having a different schema than
statistical identification tasks in tonality induction.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12606296/index.pdf |
| Date | 01 July 2005 |
| Creators | Taskin, Kemal |
| Contributors | Tekman, Gurkan Hasan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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