With the development of free accessible Artificial Intelligence (AI) musical compositional tools such as Google’s Magenta Studio it is now possible for musicians with little or no computer programming experience to utilize AI to assist in their compositions of musical works. This paper discusses and evaluates the techniques used in creating electro acoustics works of the acid genre for performance utilizing these tools and the performance of this created work. This research suggests that musicians that can utilize AI as part of their compositional process without the need for in-depth programming knowledge alongside their traditional compositional methods. The tools reported on in this research do not replace compositional techniques rather they can augment the compositional process.
Dr Dylan Davis is a design researcher and lecturer at Swinburne University, Melbourne, Australia. He has extensive experience in researching design process, community engagement, digital storytelling, interaction design, audio production and audio composition. Dylan is also a composer and a musician whose practice covers performance, and production of electronic music. His Non-traditional Research Outputs include works for festivals such as Melbourne Music Week, recordings for a range of international record labels and community based music projects. This research utilizes reflective practice to further understand and explore the compositional and performance methods and practices for electronic and electroacoustic music of the techno and acid house genre. Dylan is an extremely prolific musician with over 100 listed works on APPRA/AMCOS. Dylan’s musical works have been released on various record labels in USA, Europe, Asia and Australia.