Speech endpoint detection is very important in speech processing.
语音端点检测在语音处理中占有十分重要的地位。
参考来源 - 期刊学术社区Cepstral feature-based speech endpoint detection has more detection rate .
基于倒谱特征的语音端点检测方法具有更高的检测率。
参考来源 - 藏语语音识别的预处理研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The accuracy of the speech endpoint detection is important to the recognition performance.
语音端点检测的准确性直接影响着语音识别系统性能。
An algorithm for speech endpoint detection based on time-frequency-variance-summation was proposed.
提出了一种基于时频方差和的语音端点检测算法。
This paper analyzes speech endpoint detection based on short-term energy feature in the presence of noise.
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。
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