中文摘要：

为了提高在强噪声环境下语音端点检测的准确度,提出基于子带二次谱熵的端点检测算法.该算法把子带二次谱熵作为端点检测新的特征参数,首先计算每帧语音信号的二次谱,再多子带分析,计算二次谱熵;引入顺序统计滤波对二次谱熵平滑处理;将有限状态机判别方法与子带二次谱熵相合,形成新的语音/噪声判别算法,有效地解决单门限法易出现的两类误判.实验表明：与传统的两种方法相比,提出的端点检测算法具有准确性高、抗噪性强等优点.

英文摘要：

Voice activity detection（VAD） in strong noise environments is improved by an algorithm based on subband reprocessed spectrum entropy（BRSE）.As a new feature parameter for VAD,the reprocessed spectrum is calculated firstly,and reprocessed spectrum entropy is then calculated with multi-sub-band analysis.The order statistics filter is selected to smooth the BRPE.A new voice / noise discrimination algorithm is proposed by combining the finite state machine（FSM） with BRSE.The misdetections caused by single-threshold are reduced greatly.Experimental results show that the proposed algorithm has higher accuracy and stronger robustness than other two methods.