Measuring the similarity of Rhythmic Patterns
Measuring the similarity of Rhythmic Patterns
复制标题
测量节奏模式的相似度
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Anssi Klapuri
中科院分区：
文献类型：
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作者：
Jouni Paulus;Anssi Klapuri
描述了一种测量两个任意节奏模式的相似性的系统。这些模式表示为声学信号，并且不假定是使用类似的声音集执行的。提出了两种构成系统算法核心的新颖方法。首先，描述概率音乐节拍估计过程，该过程将连续音乐信号分割成模式。作为副产品，该方法输出 tatum、tactus（节拍）和测量长度。随后的过程执行实际的相似性测量。提取声学特征，对模式内响度和亮度的波动进行建模，然后应用动态时间扭曲来对齐要比较的模式。在模拟中，即使使用不同的声音集执行，系统也会通过为相似的音乐节奏分配高相似性度量来表现一致。
A system is described which measures the similarity of two arbitrary rhythmic patterns. The patterns are represented as acoustic signals, and are not assumed to have been performed with similar sound sets. Two novel methods are presented that constitute the algorithmic core of the system. First, a probabilistic musical meter estimation process is described, which segments a continuous musical signal into patterns. As a side-product, the method outputs tatum, tactus (beat), and measure lengths. A subsequent process performs the actual similarity measurements. Acoustic features are extracted which model the fluctuation of loudness and brightness within the pattern, and dynamic time warping is then applied to align the patterns to be compared. In simulations, the system behaved consistently by assigning high similarity measures to similar musical rhythms, even when performed using different sound sets.