The Cyborg Philharmonic: Synchronizing interactive musical performances between humans and machines

Abstract Music offers a uniquely abstract way for the expression of human emotions and moods, wherein melodic harmony is achieved through succinct blend pitch, rhythm, tempo, texture, other sonic qualities. The emerging field “ Robotic Musicianship ” focuses on developing machine intelligence, in terms algorithms cognitive models, to capture underlying principles musical perception, composition, performance. capability new-generation robots manifest music human-like artistically expressive manner lies at intersection engineering, computers, music, psychology; promising offer new forms creativity, sharing, interpreting impulses. This manuscript explores how real-time collaborations between humans machines might be by integration technological mathematical models from Synchronization Learning , with precise configuration seamless generation melody tandem, towards vision human–robot symphonic orchestra . To explicitly key ingredients good symphony—synchronization anticipation—this work discusses possible approach based joint strategy of: (i) Mapping — oscillator coupling like Kuramoto could used establishing maintaining synchronization, (ii) Modelling —employing modern deep learning predictive Neural Network architectures anticipate (or predict) future state changes sequence pre-empt transitions coupled sequence. It hoped that this discussion will foster insights research better “real-time synchronized human-computer collaborative interfaces interactions”.