The generation of musically coherent and aesthetically pleasing harmony remains a significant challenge in the field of algorithmic composition. This paper introduces an innovative Agentic AI-enabled Higher Harmony Music Generator, a multi-agent system designed to create harmony in a collaborative and modular fashion. Our framework comprises four specialized agents: a Music-Ingestion Agent for parsing and standardizing input musical scores; a Chord-Knowledge Agent, powered by a Chord-Former (Transformer model), to interpret and provide the constituent notes of complex chord symbols; a Harmony-Generation Agent, which utilizes a Harmony-GPT and a Rhythm-Net (RNN) to compose a melodically and rhythmically complementary harmony line; and an Audio-Production Agent that employs a GAN-based Symbolic-to-Audio Synthesizer to render the final symbolic output into high-fidelity audio. By delegating specific tasks to specialized agents, our system effectively mimics the collaborative process of human musicians. This modular, agent-based approach allows for robust data processing, deep theoretical understanding, creative composition, and realistic audio synthesis, culminating in a system capable of generating sophisticated and contextually appropriate higher-voice harmonies for given melodies.

翻译：在算法作曲领域，生成音乐连贯且美学上令人愉悦的和声仍然是一项重大挑战。本文介绍了一种创新的智能体人工智能高阶和声音乐生成器，这是一个设计用于以协作和模块化方式创建和声的多智能体系统。我们的框架包含四个专业智能体：用于解析和标准化输入乐谱的音乐摄取智能体；由Chord-Former（Transformer模型）驱动的和弦知识智能体，用于解释并提供复杂和弦符号的组成音符；利用Harmony-GPT和Rhythm-Net（RNN）来创作旋律与节奏上互补的和声线条的和声生成智能体；以及采用基于GAN的符号到音频合成器将最终符号输出渲染为高保真音频的音频制作智能体。通过将特定任务分配给专业智能体，我们的系统有效地模拟了人类音乐家的协作过程。这种模块化、基于智能体的方法实现了稳健的数据处理、深入的理论理解、创造性作曲和逼真的音频合成，最终形成一个能够为给定旋律生成复杂且语境恰当的高阶声部和声的系统。