基于瞬时频率的音乐同质性分析

Tatiana Endrjukaite, Y. Kiyoki
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引用次数: 0

摘要

本文介绍了一种新的音乐数据检索方法。所提出的方法提供了一种确定曲调内部均匀性的方法,即检测曲调的哪些部分听起来是全曲的典型部分,哪些部分不典型。这些信息可用于各种目的,例如创建曲调缩略图或从非典型部分中清除曲调以进行进一步的自动分析。在该方法中,我们将音乐片段分割成帧,并利用瞬时频谱将这些帧与整首曲子进行比较,从而得到了帧均匀性的全面近似。然后迭代地改进这个近似。最后的结果显示了短帧对整个曲子的均匀性。通过设置不同的阈值,我们可以获得所需的精度水平。然而,所提出的自动阈值在所有实验中都取得了良好的效果。音调同质性的视觉表现可以很好地描述乐曲的内部结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Music Homogeneity Analysis through Instantaneous Frequencies
This paper describes a new method of music data retrieval. Proposed method provides a way to determine tune's internal homogeneity, which means detecting which parts of the tune sound typical to whole tune and which do not. Such information can be used for various purposes such as tune thumbnail creation or tune cleaning from untypical parts for further automatic analysis. In our method, we slice music piece into frames and compare these frames with the whole tune by means of Instantaneous Frequency Spectrum, which gives a comprehensive approximation of frames homogeneity. This approximation is then iteratively refined. The final result shows homogeneity of short frames to the whole tune. By setting different thresholds we can get desired level of accuracy. However, proposed automatic threshold shows good results throughout all experiments. Visual presentation of tune homogeneity gives a good description of a piece's internal structure.
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