循環協同機：進行音樂生成和迭代編輯的AI合奏

摘要

創作音樂是一個反覆過程，在每個階段都需要不同的方法。然而，現有的人工智慧音樂系統在協調多個子系統以滿足不同需求方面仍有不足。為了填補這一空白，我們引入了Loop Copilot，一個新穎的系統，讓用戶可以通過互動式、多輪對話界面生成並反覆改進音樂。該系統使用一個大型語言模型來解釋用戶意圖，並選擇適合的人工智慧模型來執行任務。每個後端模型都專門用於特定任務，它們的輸出被匯總起來滿足用戶的需求。為確保音樂的連貫性，必要的屬性被保存在一個集中的表中。我們通過半結構化訪談和問卷調查評估了所提出系統的有效性，突出了它不僅在促進音樂創作方面的實用性，還在更廣泛應用方面的潛力。

English

Creating music is iterative, requiring varied methods at each stage. However, existing AI music systems fall short in orchestrating multiple subsystems for diverse needs. To address this gap, we introduce Loop Copilot, a novel system that enables users to generate and iteratively refine music through an interactive, multi-round dialogue interface. The system uses a large language model to interpret user intentions and select appropriate AI models for task execution. Each backend model is specialized for a specific task, and their outputs are aggregated to meet the user's requirements. To ensure musical coherence, essential attributes are maintained in a centralized table. We evaluate the effectiveness of the proposed system through semi-structured interviews and questionnaires, highlighting its utility not only in facilitating music creation but also its potential for broader applications.

循環協同機：進行音樂生成和迭代編輯的AI合奏

Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing

摘要

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