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Note Segmentation Based on Prior Knowledge of Music Score

机译:注意基于先验知识的音乐分数

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This paper proposes a note segmentation method combining music score, aiming at the problem that cannot segmentmulti-tone music with more changes in intensity accurately. By extracting the envelope peak value of music signal andmatching it with note values and pitch information of musical score, the segmentation of notes is completed.Simulationresults show that the method based on the prior knowledge of value and pitch information of music score can not onlyrealize the segmentation of notes of continuous single tone music, but also be suitable for multi-tone music with strongand weak variations.
机译:本文提出了一种备注分割方法,结合了音乐分数,旨在解决无法段的问题多音音色,强度更大的变化准确。通过提取音乐信号的包络峰值和将其与音乐分数的音符和音高信息匹配,完成了笔记的分割。将其仿真结果表明,基于现有价值知识和音乐分数的节奏信息的方法不仅可以实现连续单音音符的分割,也适用于强大的多音音和弱变化。

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