研究了噪声环境下，利用短时能量为特征进行语音端点检测的问题。
This paper analyzes speech endpoint detection based on short-term energy feature in the presence of noise.
对语音信号端点检测的主要方法，如基于短时能量的方法、基于HMM的方法、基于自相关相似距离的方法等进行了深入研究。
The main speech signal endpoint detection methods, such as short time energy based scheme, HMM based scheme, related alike scheme and so on are investigated deeply.
另外，在前端的端点检测中采用一种新的对数能量特征作为判别依据，以进一步改善识别效果。
In addition, to gain a higher rate, a new logarithmic energy feature is adopted in endpoint detection.
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