An evolutionary computation approach to intelligent music production informed by experimentally gathered domain knowledge
AD Wilson, Bruno Fazenda · University of Salford Institutional Repository (University of Salford) · 2016
A novel methodology for intelligent music production has been developed using evolutionary computation. Mixes are generated by exploration of a “mix-space”, which consists of a series of inter-channel volume ratios, allowing efficient generation of random mixes. An interactive genetic algorithm was used, allowing the user to rate mixes and guide the system towards their ideal mix. Currently, fitness evaluation is subjective but can be aided by specific domain knowledge obtained from a large-scale study of real mixes.