  This study proposes a system designed to enumerate the process of
collaborative composition among humans, using automatic music composition
technology. By integrating multiple Recurrent Neural Network (RNN) models, the
system provides an experience akin to collaborating with several composers,
thereby fostering diverse creativity. Through dynamic adaptation to the user's
creative intentions, based on feedback, the system enhances its capability to
generate melodies that align with user preferences and creative needs. The
system's effectiveness was evaluated through experiments with composers of
varying backgrounds, revealing its potential to facilitate musical creativity
and suggesting avenues for further refinement. The study underscores the
importance of interaction between the composer and AI, aiming to make music
composition more accessible and personalized. This system represents a step
towards integrating AI into the creative process, offering a new tool for
composition support and collaborative artistic exploration.
