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Note Segmentation Based on Prior Knowledge of Music Score

机译:基于乐谱先验知识的音符分割

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摘要

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:针对无法分割的问题,提出了一种结合乐谱的音符分割方法。 准确改变强度的多音调音乐。通过提取音乐信号的包络峰值和 将其与音符值和乐谱的音高信息相匹配,便完成了音符的分割。 结果表明,基于乐谱价值和音高信息的先验知识的方法不仅可以 实现连续单音音乐音符的分割,也适用于音色强烈的多音音乐 和微弱的变化。

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