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Local Key Estimation From an Audio Signal Relying on Harmonic and Metrical Structures

机译:依赖于谐波和度量结构的音频信号的本地密钥估计

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In this paper, we present a method for estimating the progression of musical key from an audio signal. We address the problem of local key finding by investigating the possible combination and extension of different previously proposed approaches for global key estimation. In this work, key progression is estimated from the chord progression. Specifically, we introduce key dependency on the harmonic and the metrical structures. A contribution of our work is that we address the problem of finding an analysis window length for local key estimation that is adapted to the intrinsic music content of the analyzed piece by introducing information related to the metrical structure in our model. Key estimation is not performed on empirically chosen segments but on segments that are expressed in relationship with the tempo period. We evaluate and analyze our results on two databases of different styles. We systematically analyze the influence of various parameters to determine factors important to our model, we study the relationships between the various musical attributes that are taken into account in our work, and we provide case study examples.
机译:在本文中,我们提出了一种从音频信号中估计音乐音调进行程度的方法。我们通过研究全局密钥估计的不同先前提出的方法的可能组合和扩展,解决了本地密钥查找问题。在这项工作中,关键和弦的估计是根据和弦进行的。具体来说,我们介绍了对谐波和度量结构的关键依赖性。我们工作的一个贡献是,通过在模型中引入与度量结构相关的信息,我们解决了为本地键估计找到分析窗口长度的问题,该分析窗口长度适合于所分析曲目的固有音乐内容。密钥估计不是对根据经验选择的片段执行的,而是对与速度周期相关的片段进行的。我们在两个不同样式的数据库上评估和分析我们的结果。我们系统地分析各种参数的影响,以确定对我们的模型重要的因素,我们研究工作中考虑的各种音乐属性之间的关系,并提供案例研究示例。

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