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A Multi-Profile Method for Key Estimation in EDM

机译:用于EDM的关键估计的多型材方法

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Key detection in electronic dance music is important for producers and DJ's who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves the performance of an existing method by introducing a system of multiple profiles, addressing difficult minor tracks as well as possibly amodal ones. After the explanation of our method, we use three independent datasets of electronic dance music to evaluate its performance, comparing it to other academic algorithms and commercially available solutions.
机译:电子舞蹈音乐的关键检测对于生产者和DJ的人来说很重要,他们希望通过音调内容组织他们的音乐收集或通过音调内容组织他们的音乐集合。在本文中,我们介绍了一种通过引入多个配置文件的系统来提高现有方法的算法,解决困难的小轨道以及可能是Amodal的方法。在解释我们的方法后,我们使用三个独立的电子舞蹈音乐数据集来评估其性能,将其与其他学术算法和市售解决方案进行比较。

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