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Improved Humming Music Retrieval Method Based on Wavelet Transformationand Dynamic Time Warping

机译:基于小波变换的嗡嗡声音乐检索方法改进了动态时间翘曲

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This paper proposes a method, which makes use of theband-pass property of the wavelet transform, combining thewavelet analysis with autocorrelation function to extract melodycharacters from the humming signal. After the wavelettransform, the humming signal is weighed, and then combinedwith auto-correlation function for signal analysis. The weightedfactors in the design, gives full consideration about that thesound of men and women with different frequency range. Thispaper adopts the improved DTW algorithm to match melodies,and presents one kind of music melody representationirrespective with tone. While carrying through the DTWalgorithm, it can avoid the up and down transition of tone andalso reduce the calculation of melody matching.
机译:本文提出了一种方法,该方法利用小波变换的带通量,与自相关函数相结合,以从蜂窝信号中提取熔体特征。在WaveletTransform之后,称重蜂扣信号,然后组合用于信号分析的自动相关函数。设计中的加权因素充分考虑了具有不同频率范围的男性和女性。此纸片采用改进的DTW算法来匹配旋律,并呈现一种用音调带来一种音乐旋律表示错误。在携带DTWalgorithm的同时,它可以避免音调的上下过渡,降低旋律匹配的计算。

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