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Project

AI-Supportedsynthesis and analysis of periodic musical element: new methods for musiccomposition with machine learning

The doctoral research will focus on the development of new methods for music composition with the use of machine learning based on a newly introduced music taxonomy of periodic musical progressions inspired by the properties of Shepard tones. It is a system designed for the use with machine learning, implemented in new computer software for the synthesis and analysis of music in an algorithmic context. During this study, the new methodology would be examined by implementation in artistic practice to create a portfolio of new music compositions. The study will be accompanied by a philosophical inquiry, triggering the discussion about the future of musical works as virtual objects in the world quickly shifting from the Information Era towards the so-called Imagination Age.

Date:1 Sep 2020 →  Today
Keywords:Music composition, Machine learning, sound synthesis, Shepard tones, Software
Disciplines:Sonic arts, Music composition, Music not elsewhere classified
Project type:Service project, PhD project