While generative models for music composition are increasingly capable, their adoption by musicians is hindered by text-prompting, an asynchronous workflow disconnected from the embodied, responsive nature of instrumental performance. To address this, we introduce Aria-Duet, an interactive system facilitating a real-time musical duet between a human pianist and Aria, a state-of-the-art generative model, using a Yamaha Disklavier as a shared physical interface. The framework enables a turn-taking collaboration: the user performs, signals a handover, and the model generates a coherent continuation performed acoustically on the piano. Beyond describing the technical architecture enabling this low-latency interaction, we analyze the system's output from a musicological perspective, finding the model can maintain stylistic semantics and develop coherent phrasal ideas, demonstrating that such embodied systems can engage in musically sophisticated dialogue and open a promising new path for human-AI co-creation.

翻译：尽管音乐创作的生成模型能力日益增强，但其文本提示的交互方式与乐器演奏的具身性、响应性本质相脱节，导致音乐家对其采用受到阻碍。为解决这一问题，我们提出了Aria-Duet交互系统，该系统以雅马哈Disklavier自动钢琴作为共享物理接口，实现了人类钢琴家与先进生成模型Aria之间的实时音乐二重奏。该框架支持轮替式协作：用户进行演奏并发出交接信号后，模型将生成连贯的后续乐段，并通过钢琴进行原声演奏。除阐述实现低延迟交互的技术架构外，我们还从音乐学视角分析了系统输出，发现模型能够保持风格语义并发展连贯的乐句构思，表明此类具身系统能够参与音乐性丰富的对话，为人类与人工智能协同创作开辟了前景广阔的新路径。