Sonification, Generative Music, Ambient Monitoring, Machine Learning, Data Analytics, Evolutionary Computing, Human-computer Interaction, Sound & Music Computing
This is a position paper which describes work in progress to develop
an AI/ML driven auditory ambient information system which incorporates
generative music techniques and considers some of the factors involved the
design and development of a system of this nature. The system is intended to
represent and communicate information about cryptocurrency markets to a user.
The generative music system uses evolutionary computing and machine
learning techniques, which are driven by the original cryptocurrency data, to
create musical information. This information is then mapped to synthesis
parameters. The implementation described is web based running client-side in
the browser. The paper describes the relevant background literature before
presenting a generalised model for a system of this nature before discussing
aspects of the implementation in its current state. The paper closes with a
discussion of the system and future work.