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Two level cluster analysis based on fractal dimension and iterated function systems (IFS) for speech signal recognition

机译:基于分形维数和迭代功能系统(IFS)的两个级别聚类分析,用于语音信号识别

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摘要

A phoneme recognition method is presented based on fractal theory. Fractal dimension and IFS (iterated function system) parameters that represent the methods to calculate the fractal dimension are investigated for word segmentation. The IFS matrices and the eigenvalues of the covariance matrix are proposed for phoneme recognition.
机译:基于分形理论提出了音素识别方法。分形维数和IFS(迭代函数系统)参数表示计算分形维数的方法,用于字分割。提出了IFS矩阵和协方差矩阵的特征值以进行音素识别。

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