評估音樂上下文保留：音樂編輯系統之多面向評估框架

摘要

音樂編輯在現代音樂製作中扮演著至關重要的角色，其應用涵蓋電影、廣播與遊戲開發等領域。近年來，音樂編輯系統的進展已能支援多樣化的編輯任務，例如音色轉換、樂器替換以及曲風轉變。然而，許多現有研究忽略了評估其在編輯過程中保留應保持不變之音樂面向的能力，我們將此定義為「音樂語境保留」（Music Context Preservation, MuseCP）。儘管有些研究確實考量了MuseCP，但其評估協議與指標並不全面。為解決此問題，我們引入了第一個MuseCP評估框架——MuseCPEval，該框架涵蓋四類音樂面向，並採用細粒度且量身打造的指標，以捕捉音樂屬性中的細微變化。客觀驗證與人體研究證實了這些指標的有效性。此外，針對多樣音樂編輯系統的案例研究展示了這些指標作為測試平台與診斷工具的實用性，並提供對現有系統優勢與局限的洞察。我們期望我們的指標與研究發現能為開發更具效能且可靠的音樂編輯策略提供實用指引，並具備強大的MuseCP能力。

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