根据观察到的波形简述语音信号在时域有什么特点

根据观察到的波形简述语音信号在时域有：

语音信号典型的时域特征包括短时能量，短时平均过零率，短时自相关系数，短时平均幅度差。

浊音和清音之间激励的变化，会使信号峰值幅度有很大的变化，在浊音范围内基频有相当大的变化。

Voice is a special way voice communication Ear resonant voice-extraction method of voice recognition in our ears, our ears voice converted to sound normal, and so has a very important role, but also means that the study of public occasions of communications, the voice Aphonia restore public security and judicial work Such areas is of great practical value

This paper introduces the ears of voice sounds, acoustic characteristics and a model analysis of the voice signal short-term energy, the average rate of short-term, short-term rate of zero, since the relevant short-term and short-term average rate of poor function Through the use of linear prediction coding (LPC) in terms of high precision and stability of the grid-good law, good voice from the ears of the first three formant, the Male and Female come to the normal voice resonant voice and ears The average peak frequency By comparison, voice and ears that normal voice in the formant structure of the existing differences

At present the study only in its infancy, but its major theoretical and practical significance of the value of this area will promote the rapid development of ear voice will be an increasingly broad prospects

短时自相关函数是语音信号时域分析的重要参数。但计算自相关函数的运算量很大，其原因是乘法运算所需要的时间较长。简化计算自相关函数的方法有很多，但都无法避免乘法运算。为了避免乘法运算，常常采用另一种与自相关有类似作用的参量，即短时平均幅度差函数(AMDF)。

周期的整数倍点上Fn(k) 具有的是谷值，而非峰值。因此在浊音信号的语音周期内，Fn(k)值迅速下降，而在清音语音时，不会有明显的下降。由此可见，短时平均幅度差函数可以用于基音周期的检测。而且计算上比短时自相关函数方法更为简单。

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