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Creating Persian-like music using computational intelligence (2018)
Thesis
Arshi, S. (2018). Creating Persian-like music using computational intelligence. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4222121

Dastgāh are modal systems in traditional Persian music. Each Dastgāh consists of a group of melodies called Gushé, classified in twelve groups about a century ago (Farhat, 1990). Prior to that time, musical pieces were transferred through oral tradit... Read More about Creating Persian-like music using computational intelligence.

Capturing the dynamics of cellular automata, for the generation of synthetic persian music, using conditional restricted Boltzmann machines (2017)
Book Chapter
Davis, D. N., & Arshi, S. (2017). Capturing the dynamics of cellular automata, for the generation of synthetic persian music, using conditional restricted Boltzmann machines. In Artificial Intelligence XXXIV; Lecture Notes in Computer Science (72-86). Cambridge, UK: Springer Verlag. https://doi.org/10.1007/978-3-319-71078-5_6

© Springer International Publishing AG 2017. In this paper the generative and feature extracting powers of the family of Boltzmann Machines are employed in an algorithmic music composition system. Liquid Persian Music (LPM) system is an audio generat... Read More about Capturing the dynamics of cellular automata, for the generation of synthetic persian music, using conditional restricted Boltzmann machines.

A computational framework for aesthetical navigation in musical search space
Conference Proceeding
Arshi, S., & Davis, D. A computational framework for aesthetical navigation in musical search space.

Paper presented at 3rd AISB symposium on computational creativity, AISB 2016, 4-6th April, Sheffield. Abstract. This article addresses aspects of an ongoing project in the generation of artificial Persian (-like) music. Liquid Persian Music software... Read More about A computational framework for aesthetical navigation in musical search space.