Nonlinear determinism in voiced sounds of the Japanese vowel /a/ is tested by the time series analysis associated with the surrogate method. To capture nonlinear dynamics underlying the speech signal, we apply the generalized radial basis function networks as nonlinear predictors to the time series data. The optimized network parameters may show a trail of the nonlinear dynamics though not conspicuously. This may be due to paucity of data points.
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机译：通过与替代方法相关的时间序列分析，测试了日语元音/ a /的浊音中的非线性确定性。为了捕获语音信号的非线性动力学，我们将广义径向基函数网络作为非线性预测变量应用于时间序列数据。优化的网络参数虽然不明显，但可能显示出非线性动力学的踪迹。这可能是由于数据点不足。
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