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Classifying acoustic signals into phoneme categories: average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signal

机译：将声学信号分类为音素类别：平均和阅读困难的阅读器利用语音信号的复杂动态模式和多重分形缩放特性

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Fred Hasselman;
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年度 2015
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1. Low-frequency signal changes reflect differences in functional connectivity between good readers and dyslexics during continuous phoneme mapping [J] . Stanberry LI, Richards TL, Berninger VW, Magnetic resonance imaging: An International journal of basic research and clinical applications . 2006,第3期

机译：低频信号变化反映了在连续音素映射过程中，良好阅读器与阅读障碍之间功能连接的差异
2. Characterizing scaling properties of complex signals with missed data segments using the multifractal analysis [J] . Pavlov A. N., Pavlova O. N., Abdurashitov A. S., Chaos . 2018,第1aPta2期

机译：使用多法分析表征错过数据段复杂信号的缩放性质
3. Characterizing scaling properties of complex signals with missed data segments using the multifractal analysis [J] . A. N. Pavlov, O. N. Pavlova, A. S. Abdurashitov, Chaos . 2018,第1aPta1期

机译：使用多法分析表征错过数据段复杂信号的缩放性质
4. The phase-space geometrical property of speech signals among the neighbor phonemes [C] . Dai, S., Wada, . 2002

机译：相邻音素之间语音信号的相空间几何特性
5. Using myoelectric signals to classify prehensile patterns [D] . Shuman, Gene R. 2016

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6. Classifying acoustic signals into phoneme categories: average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signal [O] . Fred Hasselman -1

机译：将声音信号分为音素类别：普通和阅读困难的读者利用语音信号的复杂动态模式和多重分形缩放特性
7. Classifying acoustic signals into phoneme categories: Average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signal [O] . Hasselman F.W. 2015

机译：将声音信号分类为音素类别：普通和阅读困难的读者利用语音信号的复杂动态模式和多分形缩放属性
8. Subband Approach to Time-Scale Expansion of Complex Acoustic Signals [R] . Quatieri, T. F., Dunn, R. B., Hanna, T. E. 1995

机译：复声信号时间尺度扩展的子带方法

Classifying acoustic signals into phoneme categories: average and dyslexic readers make use of complex dynamical patterns and multifractal scaling properties of the speech signal

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