按哼音查询中的哼音分割方法

2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID) Pub Date : 2016-09-01 DOI:10.1109/ICASID.2016.7873890

Shaojing Zhou, Zhijun Zhao, Ping Shi

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引用次数: 0

摘要

哼音分割是哼音查询(QBH)中的重要步骤，音符分割的准确性对提高音乐检索系统中旋律匹配的准确性起着重要作用。针对蜂鸣声不稳定的特点，提出了一种基于动态阈值的蜂鸣声音符分割方法，提高了蜂鸣声音符分割的准确性。实验结果表明，动态阈值法可以有效地提高检索精度，为提高QBH的检索效果提供了思路。

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Humming note segmentation method in Query-by-Humming

Humming note segmentation is an important step in Query-by-Humming (QBH) and the accuracy of note segmentation plays an important role in improving the accuracy of the melody matching in music retrieval system. According to the properties that the voice was not stable, a note segmentation method based on dynamic threshold was put forward in this paper to improve the accuracy of the humming note segmentation. The experiment results showed that the dynamic threshold method can effectively improve the accuracy of retrieval, and it provides an idea to improve the effect of QBH.

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来源期刊

2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID)

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