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Deep learning for Turkish makam music composition
2021
Journal:  
Turkish Journal of Electrical Engineering and Computer Science
Author:  
DOI:  
10.3906/elk-2101-44
Abstract:

In this paper, we introduce a new deep-learning-based system that can compose structured Turkish makam music (TMM) in the symbolic domain. Presented artificial TMM composer (ATMMC) takes eight initial notes from a human user and completes the rest of the piece. The backbone of the composer system consists of multilayered long short-term memory (LSTM) networks. ATMMC can create pieces in Hicaz and Nihavent makams in Şarkı form, which can be viewed and played with Mus2, a notation software for microtonal music. Statistical analysis shows that pieces composed by ATMMC are approximately 84% similar to training data. ATMMC is an open-source project and can assist Turkish makam music enthusiasts with creating new pieces for professional, educational, or entertainment purposes.

Keywords:

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2021
Journal:  
Turkish Journal of Electrical Engineering and Computer Science
Author:  
DOI:  
10.3906/elk-2101-44
0
2021
Journal:  
Turkish Journal of Electrical Engineering and Computer Science
Author:  
DOI:  
10.3906/elk-2101-44
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Turkish Journal of Electrical Engineering and Computer Science

Field :   Mühendislik

Journal Type :   Uluslararası

Metrics
Article : 2.879
Cite : 1.408
2023 Impact : 0.016
Details
Turkish Journal of Electrical Engineering and Computer Science