基于公共空间模式滤波器的音色分类方法

Yongkoo Park, Wonzoo Chung
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引用次数: 0

摘要

音频信号的音色在数学上还没有得到明确的定义。据推测,音频信号的时频结构与音色特性有关。本文从音频信号的多频带滤波器组输出信号构造协方差矩阵,并应用公共空间模式(CSP)滤波器对音频信号的音色进行表征。仿真结果证实了多波段音频信号的协方差矩阵和CSP滤波器可以作为一种潜在的音色分类特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timbre classification method based on the Common Spatial Pattern filter
The timbre of audio signals has not been clearly defined mathematically. It has been speculated that the time-frequency structure of audio signals is contributed to the timbre property. In this paper, we construct covariance matrix from the multi-band filter bank output signals of an audio signals and apply Common Spatial Pattern (CSP) filter to characterize timbre of audio signals. Simulation results confirms that the covariance matrix from the multi-band audio signals and CSP filter can be used as a potential feature of timbre classification.
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