评估音乐上下文保留：面向音乐编辑系统的多维度框架

摘要

音乐编辑在现代音乐制作中发挥着至关重要的作用，其应用涵盖电影、广播和游戏开发等领域。近年来，音乐编辑系统的进展使得多样化的编辑任务成为可能，例如音色转移、乐器替换以及风格转换。然而，许多现有工作忽视了评估它们在编辑过程中保持不应改变的乐音层面的能力，我们将这一能力定义为音乐上下文保持（MuseCP）。尽管部分研究确实考虑了MuseCP，但其评估方案和指标尚不够全面。为此，我们提出了首个MuseCP评估框架——MuseCPEval，该框架涵盖四类音乐层面，并采用细粒度且针对性设计的指标来捕捉音乐属性的细微变化。客观验证和人类研究证明了这些指标的有效性。此外，对不同音乐编辑系统的案例研究展示了这些指标作为测试平台和诊断工具的实际效用，为现有系统的优势与局限提供了深刻洞见。我们希望所提出的指标和发现能为开发兼具强大MuseCP能力的更有效且可靠的音乐编辑策略提供实践指导。

English

Music editing plays a vital role in modern music production, with applications in film, broadcasting, and game development. Recent advances in music editing systems have enabled diverse editing tasks such as timbre transfer, instrument substitution, and genre transformation. However, many existing works overlook evaluating their ability to preserve musical facets that should remain unchanged during editing, which we define as Music Context Preservation (MuseCP). While some studies do consider MuseCP, their evaluation protocols and metrics are not comprehensive. To address this, we introduce the first MuseCP evaluation framework, MuseCPEval, that covers four categories of music facets with fine-grained and well-tailored metrics to capture nuanced changes in music attributes. Objective validation and a human study demonstrate the effectiveness of these metrics. Moreover, the case studies on diverse music editing systems illustrate the practical utility of these metrics as a testbed and diagnostic tool, providing insights into the strengths and limitations of existing systems. We hope our metrics and findings can offer practical guidance for developing more effective and reliable music editing strategies with strong MuseCP capability