If you want to evaluate how well the unedited parts of a music clip are preserved after music editing, feel free to try <strong>MuseCPEval</strong>!!! MuseCPEval introduces 12 metrics across 5 music facets: harmony, rhythm&amp;meter, structure, melody&amp;motif, and timbre. We comprehensively evaluate these metrics through both objective and subjective evaluations. Feel free to run <code>pip install musecpeval</code> and diagnose music editing techniques!</p>\n","updatedAt":"2026-08-20T20:02:14.130Z","author":{"_id":"6190ab805ca89a28e9f66873","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6190ab805ca89a28e9f66873/5sU31QRyrKjL9OA64sMUk.jpeg","fullname":"Xin Xu","name":"XinXuNLPer","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":7,"isUserFollowing":false}},"numEdits":1,"identifiedLanguage":{"language":"en","probability":0.7885589003562927},"editors":["XinXuNLPer"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/6190ab805ca89a28e9f66873/5sU31QRyrKjL9OA64sMUk.jpeg"],"reactions":[{"reaction":"🔥","users":["XinXuNLPer"],"count":1},{"reaction":"🚀","users":["XinXuNLPer"],"count":1},{"reaction":"👀","users":["XinXuNLPer"],"count":1}],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2512.14629","authors":[{"_id":"6a86549fdb13816030683e14","name":"Yash Vishe","hidden":false},{"_id":"6a86549fdb13816030683e15","name":"Eric Xue","hidden":false},{"_id":"6a86549fdb13816030683e16","name":"Xunyi Jiang","hidden":false},{"_id":"6a86549fdb13816030683e17","name":"Zachary Novack","hidden":false},{"_id":"6a86549fdb13816030683e18","name":"Junda Wu","hidden":false},{"_id":"6a86549fdb13816030683e19","name":"Julian McAuley","hidden":false},{"_id":"6a86549fdb13816030683e1a","name":"Xin Xu","hidden":false}],"mediaUrls":["https://cdn-uploads.huggingface.co/production/uploads/6190ab805ca89a28e9f66873/UMZxk5rj_rCKvGpgp5uKv.png"],"publishedAt":"2026-08-18T00:00:00.000Z","submittedOnDailyAt":"2026-08-20T00:00:00.000Z","title":"Evaluating Music Context Preservation: A Multi-facet Framework for Music Editing Systems","submittedOnDailyBy":{"_id":"6190ab805ca89a28e9f66873","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6190ab805ca89a28e9f66873/5sU31QRyrKjL9OA64sMUk.jpeg","isPro":false,"fullname":"Xin Xu","user":"XinXuNLPer","type":"user","name":"XinXuNLPer"},"summary":"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","upvotes":2,"discussionId":"6a8654a0db13816030683e1b","projectPage":"https://musecpeval-demo.netlify.app/","githubRepo":"https://github.com/Yashvishe13/MuseCPEval","githubRepoAddedBy":"user","ai_summary":"The study introduces MuseCPEval, a framework with tailored metrics to evaluate preservation of unchanged musical attributes during editing tasks.","ai_keywords":["music editing","timbre transfer","instrument substitution","genre transformation","Music Context Preservation","MuseCP","MuseCPEval"],"ai_summary_model":"thinkingmachines/Inkling-Small","githubStars":1,"organization":{"_id":"65af44a1637e10fba942ed0c","name":"McAuley-Lab","fullname":"McAuley-Lab","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/64daab70c38427829daf5958/OWlh6vciWnY_MeyM099wZ.png"}},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"6190ab805ca89a28e9f66873","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6190ab805ca89a28e9f66873/5sU31QRyrKjL9OA64sMUk.jpeg","isPro":false,"fullname":"Xin Xu","user":"XinXuNLPer","type":"user"},{"_id":"6844c995504209e4fcda83fc","avatarUrl":"/avatars/67e5c4ecdfd79e10091d4ee2104a88fb.svg","isPro":false,"fullname":"Vishe","user":"Yash13271","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":0,"organization":{"_id":"65af44a1637e10fba942ed0c","name":"McAuley-Lab","fullname":"McAuley-Lab","avatar":"https://cdn-avatars.huggingface.co/v1/production/uploads/64daab70c38427829daf5958/OWlh6vciWnY_MeyM099wZ.png"},"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2512/2512.14629.md","query":{}}">

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