Objective measurement of perceptually motivated music attributes has application in both target driven mixing and mastering methodologies and music information retrieval. This work proposes a perceptual model of mix clarity which decomposes a mixed input signal into transient, steady-state, and residual components. Masking thresholds are calculated for each component and their relative relationship is used to determine an overall masking score as the model's output. Three variants of the model were tested against subjective mix clarity scores gathered from a controlled listening test. The best performing variant achieved a Spearman's rank correlation of rho = 0.8382 (p<0.01). Furthermore, the model output was analysed using an independent dataset generated by progressively applying degradation effects to the test stimuli. Analysis of the model suggested a close relationship between the proposed model and the subjective mix clarity scores particularly when masking was measured using linearly spaced analysis bands. Moreover, the presence of noise-like residual signals was shown to have a negative effect on the perceived mix clarity.
翻译:在目标驱动混合和掌握方法以及音乐信息检索方面,对感知性音乐属性的客观计量都适用目标驱动的混合和掌握方法以及音乐信息检索。这项工作提出了一个混合清晰度概念模型,将混合输入信号分解成瞬态、稳定状态和剩余组成部分。为每个组成部分计算了遮盖阈值,并使用它们的相对关系来确定模型产出的总体遮盖分数。模型的三个变式是对照从受控监听测试中收集的主观混合清晰分数测试的。最佳变式实现了Spearman的rho = 0.8382(p < 0.01)。此外,模型产出是使用通过对测试刺激因素逐步应用降解效应产生的独立数据集分析的。模型分析表明,拟议的模型与主观混合清晰度分数之间有着密切的关系,特别是在使用线性空间分析波段测量遮盖值时。此外,有类似噪音的残余信号的存在对所感觉到的混合清晰度产生了负面影响。