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基于子带二次谱熵的语音端点检测
引用本文:朱建伟,孙水发,但志平,雷帮军.基于子带二次谱熵的语音端点检测[J].微电子学与计算机,2011,28(3):77-80.
作者姓名:朱建伟  孙水发  但志平  雷帮军
作者单位:1. 三峡大学,智能视觉与图像信息研究所,湖北,宜昌,443002;三峡大学,电气与新能源学院,湖北,宜昌,443002
2. 三峡大学,智能视觉与图像信息研究所,湖北,宜昌,443002
基金项目:国家自然科学基金项目,湖北省自然科学基金项目,湖北省教育厅重大项目,湖北省高等学校优秀中青年科技创新团队计划项目,湖北省教育厅中青年项目,宜昌市科学技术研究与开发项目
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.

关 键 词:端点检测  子带二次谱熵  有限状态机  顺序统计滤波

Voice Activity Detection Based on Sub-band Reprocessed Pectrum Entropy
ZHU Jian-wei,SUN Shui-fa,DAN Zhi-ping,LEI Bang-jun.Voice Activity Detection Based on Sub-band Reprocessed Pectrum Entropy[J].Microelectronics & Computer,2011,28(3):77-80.
Authors:ZHU Jian-wei  SUN Shui-fa  DAN Zhi-ping  LEI Bang-jun
Affiliation:ZHU Jian-wei1,2,SUN Shui-fa1,DAN Zhi-ping1,LEI Bang-jun1(1 Institute of Intelligent Vision and Image Information,China Three Gorges University,Yichang 443002,China,2 College of Electrical Engineering and New Energy Technology,China)
Abstract: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-thresh...
Keywords:voice activity detection  subband reprocessed power spectrum entropy  finite state machine  order statistics filter  
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