MorpheuS swMATH ID: 36062 Software Authors: Dorien Herremans, Elaine Chew Description: MorpheuS: generating structured music with constrained patterns and tension. Automatic music generation systems have gained in popularity and sophistication as advances in cloud computing have enabled large-scale complex computations such as deep models and optimization algorithms on personal devices. Yet, they still face an important challenge, that of long-term structure, which is key to conveying a sense of musical coherence. We present the MorpheuS music generation system designed to tackle this problem. MorpheuS’ novel framework has the ability to generate polyphonic pieces with a given tension profile and long- and short-term repeated pattern structures. A mathematical model for tonal tension quantifies the tension profile and state-of-the-art pattern detection algorithms extract repeated patterns in a template piece. An efficient optimization metaheuristic, variable neighborhood search, generates music by assigning pitches that best fit the prescribed tension profile to the template rhythm while hard constraining long-term structure through the detected patterns. This ability to generate affective music with specific tension profile and long-term structure is particularly useful in a game or film music context. Music generated by the MorpheuS system has been performed live in concerts. Homepage: http://dorienherremans.com/morpheus/ Keywords: Sound (cs.SD); Audio and Speech Processing (eess.AS) Related Software: SampleRNN; Anticipation-RNN; jSymbolic; MidiNet; LakhNES; Music Transformer; MuseGAN; BERT; Adam Cited in: 2 Documents all top 5 Cited by 9 Authors 1 Collins, Tom 1 Pesek, Matevž 1 Ren, Iris Yuping 1 Reuben, Federico 1 Stepney, Susan 1 Tomašević, Darian 1 Volk, Anja 1 Wells, Stephan 1 Yin, Zongyu Cited in 2 Serials 1 Machine Learning 1 Journal of Mathematics and Music Cited in 2 Fields 2 Computer science (68-XX) 1 General and overarching topics; collections (00-XX) Citations by Year