# Libretto：赋予LLM智能体音乐结构感知

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-06-21 08:00
- AIHOT 分数：37
- AIHOT 链接：https://aihot.virxact.com/items/cmqqw8yr90e3nslp5bl09olni
- 原文链接：https://arxiv.org/abs/2606.22708

## AI 摘要

Libretto是一个面向LLM智能体的符号音乐生成与修订框架，采用包含显式onset槽、声部和小节组织的LLM原生语法，并在节奏、和声、旋律、织体、形式与变奏的语料校准统计空间中评估每首作品。同一结构轴支持检索、诊断、复制风险控制及迭代自修订。在填空生成、参考引导整曲生成、渐变变形与教育音乐生成等任务中，Libretto将符号音乐从原始token序列转化为语言模型智能体可测量、可编辑的对象。

## 正文

Generative music systems can now produce impressive audio from text prompts, but audio outputs are difficult to inspect, edit, and diagnose as musical structure. We introduce Libretto, an agent-facing framework for symbolic music generation and revision. Libretto uses an LLM-native grammar with explicit onset slots, voices, and bar-level organization, then evaluates each piece in a corpus-calibrated statistical space over rhythm, harmony, melody, texture, form, and variation. The same structural axes support retrieval, diagnosis, copy-risk control, and iterative self-revision. Across gap filling, reference-guided full-piece generation, gradual morphing, and educational music generation, Libretto turns symbolic music from a raw token sequence into a measurable and editable object for language-model agents.