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文章背景与核心概要

当前的文本生成音乐（Text-to-Music）系统在很大程度上依赖于全局文本提示词，这使得生成音乐的结构编排处于隐式且静态的状态，在音频创建之前很难进行检查或修改。为了克服这一局限性，研究人员推出了 MusicLayout——一种显式的中间表示方法，它将一首音乐作品映射为时间对齐的布局，包含段落、织体、重复、变奏以及乐器级编排。

MusicLayout 被集成到一个统一的自回归框架中，充当一个可解释的规划层。它允许用户在最终生成音频之前，对音乐的宏观结构进行检查、操作和控制。这项研究通过布局条件生成、布局修改实验以及匹配数据消融实验，证明了显式布局规划能够改善长程结构组织并支持布局级别的精细控制。

MusicLayout: Explicit Structural Planning for Controllable Text-to-Music Generation

📌 Summary

Current text-to-music systems largely rely on global text prompts, keeping the structural arrangement of generated music implicit, static, and difficult to inspect or revise prior to audio creation. To overcome this limitation, researchers introduce MusicLayout—an explicit intermediate representation that maps a musical piece as a time-aligned layout of sections, textures, repetitions, variations, and instrument-level arrangements. Integrated into a unified autoregressive framework, MusicLayout acts as an interpretable planning layer, enabling users to inspect, manipulate, and control the macro-structure of the music before final audio generation.

📋 Paper Metadata

Authors

  • Shuyu Li
  • Kejun Zhang
  • Jiahe Lei
  • Shulei Ji
  • Zihao Wang
  • Jiaxing Yu
  • Wanying Wu
  • Lei Wang

🔍 Abstract

文本生成音乐技术取得了迅猛发展，但现有系统仍主要依赖于全局文本提示词，导致生成音乐的结构组织呈现隐式状态，在音频生成之前难以进行检查、控制或修改。

Text-to-music generation has advanced rapidly, but current systems still rely primarily on global text prompts, leaving the structural organization of generated music implicit and difficult to inspect, control, or revise before audio generation.

为了解决这一问题，我们推出了 MusicLayout，这是一种用于在文本生成音乐中控制音乐结构的显式中间表示。MusicLayout 将一首音乐作品描述为时间对齐的段落、织体、重复、变奏和乐器级编排布局，充当了文本意图与生成音乐之间可解释的规划层。

To address this issue, we introduce MusicLayout, an explicit intermediate representation for controlling musical structure in text-to-music generation. MusicLayout describes a musical piece as a time-aligned layout of sections, textures, repetitions, variations, and instrument-level arrangements, serving as an interpretable planning layer between textual intent and the generated music.

我们将 MusicLayout 集成到一个构建于统一自回归形式之上的文本生成音乐框架中，在该框架中，模型首先生成 MusicLayout 表示，随后在单一序列内以该表示为条件预测音频 Token。生成的 MusicLayout 可以在音频生成之前进行检查和修改，从而提供了一种布局级别的结构控制机制。我们通过布局条件生成、布局修改实验以及匹配数据消融实验对 MusicLayout 进行了评估，证明了显式布局规划能够改善长程结构组织并支持布局级别的控制。

We integrate MusicLayout into a text-to-music framework built on a unified autoregressive formulation, where the model first generates a MusicLayout representation and subsequently predicts audio tokens conditioned on this representation within a single sequence. The resulting MusicLayout can be inspected and modified prior to audio generation, providing a mechanism for layout-level structural control. We evaluate MusicLayout through layout-conditioned generation, layout manipulation experiments, and matched-data ablations, providing evidence that explicit layout planning can improve long-range structural organization and support layout-level control.