论文标题
探索歌曲单声旋律的固有特性
Exploring Inherent Properties of the Monophonic Melody of Songs
论文作者
论文摘要
旋律是音乐中最重要的组成部分之一。与音乐理论中的其他组成部分（例如Harmony和Counterpoint）不同，迫切需要旋律的可计算功能。这些功能高度要求是数据驱动的方法，在音乐信息检索和自动音乐构图中占主导地位。为了提高与学习相关的音乐任务的性能，我们为计算目的提出了一组单声道旋律的可解释功能。这些功能不仅以数学形式定义，而且对作曲家的直觉进行了一些考虑。例如，旋律重心可以反映旋律的句子轮廓，局部 /全局旋律动力学量化了旋律的动力学，该动力学将旋转的旋律与句子中的音调和时间结合在一起。我们发现，即使是针对亚登纳尔构图实践，人们普遍认为这些功能是由人们普遍考虑的。希望这些旋律功能可以为未来的研究人员提供Nov El的灵感，作为MIR和自动构图领域的工具。
Melody is one of the most important components in music. Unlike other components in music theory, such as harmony and counterpoint, computable features for melody is urgently in need. These features are highly demanded as data-driven methods dominating the fields such as musical information retrieval and automatic music composition. To boost the performance of deep-learning-related musical tasks, we propose a set of interpretable features on monophonic melody for computational purposes. These features are defined not only in mathematical form, but also with some considerations on composers 'intuition. For example, the Melodic Center of Gravity can reflect the sentence-wise contour of the melody, the local / global melody dynamics quantifies the dynamics of a melody that couples pitch and time in a sentence. We found that these features are considered by people universally in many genres of songs, even for atonal composition practices. Hopefully, these melodic features can provide nov el inspiration for future researchers as a tool in the field of MIR and automatic composition.
