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基于分形特征变化的语音端点检测技术研究 被引量：4

Research of Speech Endpoint Detection Based on the Variety of Fractal Feature
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摘要 端点检测是语音识别的基本问题,最低要求是区分噪音和话音,如果实现对音节甚至音素的切分,那么对于语言识别,关键词识别,以及连续语音识别都将是有益的.本文提出一种基于盒维与信息维的端点检测算法,首先根据信息维自适应调整门限划分噪音段和话音段,在此基础上,依据盒维与信息维的变化,及汉语音节特点,给出了一种汉语音节划分算法.采用实际电话信道话音数据进行测试.结果表明,本文提出的方法是有效的,话音段检测准确率较高,达到95%,音节切分准确率达85%,尚需进一步研究. Endpoint detection is the foundation of speech recognition, language identification,
作者 李凯 徐强樯 左万利
机构地区 解放军保密委员会技术安全研究所 吉林大学计算机科学与技术学院
出处 《小型微型计算机系统》 CSCD 北大核心 2007年第8期1523-1526,共4页 Journal of Chinese Computer Systems
关键词 端点检测 分形 盒维 信息维 分形特征变化 语音 检测技术 spotting and continuous speech recognition will benefit if phoneme and syllable could be identified. This paper proposed an endpoint detection algorithm based on box dimension and information dimension, first it divide noise segment and speech
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献16

  • 1Wang Bing-xi,Qu Dan,Peng Xuan.Practical fundamentals of speech recognition[M].Beijing:National Defense Industry Press,2005.
  • 2Shen Ya-qiang,Feng Geng-liang.Two end point detecting and filtering on low SNR speech signals based on short-time fractal dimension[J].Journal of Zhejiang Normal University (Nature Science Edition),1999,22(1):16-21.
  • 3Khurram Waheed,Kim Weaver,Fathi M Salam.A robust algorithm for detecting speech segments using an entropic contrast[C].45th IEEE International Midwest Symposium on Circuits and Systems,Vol 3.Oklahoma:2002,328-331.
  • 4Fei Zhen-fu,Wang Shu-xun,He Kai.Application of fractal theory in speech signal endpoint detection and speech enhancement[J].Journal of Jilin University (Information Science Edition),2005,23(2):139-142.
  • 5陈四根,和应民.一种基于信息熵的语音端点检测方法[J].应用科技,2001,28(3):13-14. 被引量：13
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二级参考文献28

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共引文献109

同被引文献31

引证文献4

二级引证文献20

小型微型计算机系统
2007年 第8期

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