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Identification of predominent frequencies in a speech signal using modeling of vocal chord

机译:使用声带建模识别语音信号中的主要频率

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A great problem in speech communication is to identify the shape and characteristics of the vocal apparatus. This task is normally done by using a vocal tract model, based on the calculation of the function, area would be performed. We will show that these models have good performance in experiments. A mathematical model of voice box has been obtained. We suggest a new numerical method without saturation, which allows solving the problem in a wide range of frequencies with an arbitrary and controlled precision. The low sound frequencies cause the detection of the membrane at the upper part of the cochlea, whereas high sound frequencies cause the detection of the main volute of the cochlea.
机译:语音通信中的一个大问题是识别人声设备的形状和特性。通常通过使用声道模型来完成此任务,基于该函数的计算,将执行面积。我们将证明这些模型在实验中具有良好的性能。已获得语音盒的数学模型。我们建议一种新的不饱和的数值方法,该方法可以在任意频率和受控精度下解决广泛的频率问题。较低的声音频率导致对耳蜗上部膜的检测,而较高的声音频率导致对耳蜗主蜗壳的检测。

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