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.

通过整合多个 RNN 模型，本研究提出了一个系统，旨在协同人类进行音乐创作，使创作过程更具多样性，通过根据反馈动态调整用户创意意图，系统增强了生成符合用户偏好和创意需求的旋律的能力，通过对具有不同背景的作曲家的实验验证了系统的有效性，进一步完善了音乐创作的可能性，突显了作曲家与人工智能的互动在使音乐创作更加个性化和易于接触方面的重要性，这个系统代表了将人工智能整合到创作过程中的一步，提供了一个新的音乐创作支持和协同艺术探索的工具。