Rhythm Classification Using Spectral Rhythm Patterns
Rhythm Classification Using Spectral Rhythm Patterns
复制标题
使用频谱节奏模式进行节奏分类
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
Geoffroy Peeters
中科院分区：
文献类型：
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作者：
Geoffroy Peeters
在本文中，我们研究使用频谱模式来表示音频信号的节奏特征。首先从音频信号中提取表示随时间变化的起始位置的函数。根据这个函数，我们每次计算一个代表局部节奏特征的向量。针对该向量研究了三个特征集。它们源自离散傅里叶变换的幅度、自相关函数以及 DFT 和频率映射 ACF 的乘积。然后以某些特定频率对向量进行采样，这些特定频率代表本地速度的各种比率。通过分类任务评估三个特征集表示音频项的节奏特征的能力。我们表明，使用这种简单的光谱表示可以获得与现有技术相当的结果。
In this paper, we study the use of spectral patterns to represent the characteristics of the rhythm of an audio signal. A function representing the position of onsets over time is first extracted from the audio signal. From this function we compute at each time a vector which represents the characteristics of the local rhythm. Three feature sets are studied for this vector. They are derived from the amplitude of the Discrete Fourier Transform, the AutoCorrelation Function and the product of the DFT and of a Frequency-Mapped ACF. The vectors are then sampled at some specific frequencies, which represents various ratios of the local tempo. The ability of the three feature sets to represent the rhythm characteristics of an audio item is evaluated through a classification task. We show that using such simple spectral representations allows obtaining results comparable to the state of the art.