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.

翻译：本研究提出了一种系统，旨在利用自动音乐创作技术枚举人类协作作曲的过程。通过集成多个循环神经网络（RNN）模型，该系统提供类似于与多位作曲家合作的体验，从而培养多样化的创造力。基于用户反馈，系统动态适应其创作意图，增强了生成符合用户偏好和创作需求的旋律的能力。系统有效性通过不同背景作曲家的实验进行评估，结果显示其促进音乐创造力的潜力，并提出了进一步优化的方向。研究强调了作曲家与人工智能之间交互的重要性，旨在使音乐创作更易访问和个性化。该系统代表了将人工智能融入创作过程的一步，为作曲支持与协作艺术探索提供了新工具。