arXiv:2506.05104cs.SDcs.AI2025-06中稿 · paper submitted to…综述被引 19

系统梳理音乐生成模型评估方法,涵盖主观与客观、定性与定量手段。

Survey on the Evaluation of Generative Models in Music

  • 从音乐学、工程和人机交互角度综合评估生成模型
  • 覆盖主观听感与客观指标的多维度评测体系
  • 适合研究生成模型评估的学者与音乐技术开发者

近年来,音乐生成系统的研究受到广泛关注并迅速发展。针对此类系统的系统性评估已开展多种尝试。本文从跨学科视角综述了音乐生成模型在输出质量与实际应用中的常见评估目标、方法与指标,涵盖主观与客观、定性与定量,以及实证与计算方法。从音乐学、工程学和人机交互的角度分析各类方法的优势与局限。

原文摘要 · Abstract (English)

Research on generative systems in music has seen considerable attention and growth in recent years. A variety of attempts have been made to systematically evaluate such systems. We present an interdisciplinary review of the common evaluation targets, methodologies, and metrics for the evaluation of both system output and model use, covering subjective and objective approaches, qualitative and quantitative approaches, as well as empirical and computational methods. We examine the benefits and limitations of these approaches from a musicological, an engineering, and an HCI perspective.

音乐生成模型评估综述

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