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Singing Voice Intonation Analysis using Pitch Detection Algorithms

机译:使用音高检测算法进行歌声语调分析

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摘要

Pitch drift is a commonly known phenomenon among singers. It occurs in most a cappella groups. Reasons for the phenomenon are not known, despite that it is very common and unwanted. It is usually mistakenly argued that pitch drift depends on the singers skills. The objective of this thesis is to find the causes of pitch drift. We reviewed scientific publications related to the theme and analysed the changes in intonation on audio tracks, which we recorded in the context of this thesis. Tracks were analyzed with algorithms for pitch detection. We used an existing plug-in based on pYIN algorithm and our own modified implementation of algorithm based on autocorrelation. The analysis results have further confirmed the findings of some publications, saying that the intonation in the songs changes due to differences between the just intonation and the equal temperament. Changes occur when difference in tuning between two notes is negative. More such cases are there in the song, greater change in the intonation can occur.
机译:音高漂移是歌手中众所周知的现象。它发生在大多数无伴奏合唱团。尽管这种现象非常普遍且不受欢迎,但其原因尚不清楚。通常会错误地认为音高漂移取决于歌手的技能。本文的目的是找出音高漂移的原因。我们回顾了与该主题相关的科学出版物,并分析了音轨中语调的变化,这些变化是我们在本文中所记录的。使用音高检测算法分析轨道。我们使用了一个现有的基于pYIN算法的插件,以及我们自己基于自相关算法的改进实现。分析结果进一步证实了一些出版物的发现,他们说歌曲的语调由于正当语调和均等气质之间的差异而改变。当两个音符之间的调音差为负时,会发生变化。歌曲中出现的此类情况越多,语调就会发生更大的变化。

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    Šiškovič Martin;

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  • 年度 2017
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