This paper introduces a VAD algorithm with average of the magnitude and weighted zero crossing rate, and the algorithm has been implemented by hardware.
介绍了一种平均幅度和加权过零率的VAD算法，并对该算法进行了硬件实现。
The time domain analysis is most simple and intuitionistic. The short-time energy, the short-time zero crossing rate and the short-time self-correlation are main analysis method in time domain.
时域分析方法是最简单、最直观的方法，其中我们采用短时能量、短时过零率、短时自相关函数等方法来分析语音。
The involved parameters are short-time amplitude and energy, lst-and2nd-order zero-crossing rate, autocorrelation function and pitch period.
所使用的参数是：信号的短时幅度与能量、一阶和二阶过零率、自相关函数及基音周期等。
Short-time average energy, short-time average zero-crossing rate and short-time energy-zero-product are introduced.
介绍了短时平均能量法、短时平均过零率法和短时能零积法三种语音端点检测法。
Short-time average energy, short-time average zero-crossing rate and short-time energy-zero-product are introduced.
介绍了短时平均能量法、短时平均过零率法和短时能零积法三种语音端点检测法。
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