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基于能量和浊音特性的语音端点检测 被引量：5

Speech Endpoint Detection Based on Energy and Voicing Features
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摘要 论文提出一种适用于实际噪声环境的语音端点检测算法,并将其用于语音识别系统中。首先通过跟踪平稳噪声能量,检测能量变化非平稳的信号;然后在这段信号中根据浊音特性搜索并跟踪谐波,确定浊音的位置;最后结合能量和浊音信息检测语音的精确起止点。实验证明,该算法能在多种环境噪声中保持稳定可靠的性能。 This paper suggests a new method of endpoint detection for real noise environments.First,the noise energy, is tracked to detect the unstable signal.Then the harmonics of voice are detected and tracked to get the position of voice. At last,the refined speech endpoint is detected based on energy and voicing features.The new method operates reliably in most real noise environment.
作者 国雁萌 盛任农 牟英良
机构地区 中国科学院声学研究所中科信利实验室 北京电子技术应用研究所
出处 《计算机工程与应用》 CSCD 北大核心 2006年第26期43-45,126,共4页 Computer Engineering and Applications
基金 国家自然科学基金资助项目(编号:10574140) 国家973重点基础研究发展规划资助项目(编号:2004CB318106)
关键词 端点检测 语音识别 能量 浊音 基音 谐波 endpoint detection,speech recognition, energy, voice, pitch,harmonic
分类号 TN912.3 [电子电信—通信与信息系统]
  • 相关文献

参考文献8

  • 1Qi Li et al.Robust endpoint detection and energy normalization for real-time speech and speaker recognition[J].IEEE Trans Speech and Audio,2002; 10(3):146～157
  • 2Sahar E Bou-Ghazale,Khaled Assaleh.A robust endpoint detection of speech for noisy environments with application to automatic speech recognition[C].In:Proc IEEE ICASSP 02,2002:3808～3811
  • 3Arnaud Mrtin,Laurent Mauuary.Voicing parameter and energy based speech/nonspeech detection for speech recognition in adverse conditions[C].In:Proc EuroSpeech 03,Geneva,2003:3069～3072
  • 4Thomas F Quatieri 著.赵胜辉等译.离散时间语音信号处理-原理与应用[M].北京:电子工业出版社,2004:56～58
  • 5Ahmad R Abu-El-Quran,Rafik A Goubran.Pitch-Based Feature Extraction for Audio Classification[C].In:Proc IEEE ICASSP 03,2003:43～47
  • 6Duanpei Wu et al.A robust speech detection algorithm for speech activated hands-free applications[C].In:Proc IEEE ICASSP 99,1999:2407～2410
  • 7ETSI ES 201 108 Recommendation:Speech processing,transmission and quality aspects (STQ); distributed speech recognition; advanced front-end feature extraction algorithm;compression algorithms[S].2002
  • 8ITU-T Recommendation G.729-Annex B:A Silence Compression Scheme for G.729 Optimized for Terminals Conforming to Recommendation V.70[S].1996

共引文献2

同被引文献19

  • 1LI Q.Robust endpoint detection and energy normalization for real-time speech and speaker recognition[J].IEEE Trans.on Speech and Audio,2002,10(3):146-157.
  • 2NEY H.An optimization algorithm for determining the endpoints of isolated utterances[C]// Proceedings of ICASSP.[S.l.]:IEEE Press,1981:720-723.
  • 3SAVOJI M H.A robust algorithm for accurate endpointing of speech[J].Speech Commun.,1989,8:45-60.
  • 4MRTIN A,MAUUARY L.Voicing parameter and energy based speech /nonspeeeh detection for speech recognition in adverse conditions[C]// Proceedings of EuroSpeech 03.Geneva:[s.n.],2003:3069-3072.
  • 5QI Y Y,HUNT B R.Voiced-unvoiced-silence classification of speech using hybrid features and a network classifier[J].IEEE Trans.on Speech and Audio Processing,1993,1 (2):250-255.
  • 6KIA S J,COGHILL G G.A mapping neural network and its application to voiced-unvoiced-silence classification[C]//Proceedings of International Conference on Artificial Neural Networks Expert Systems.[S.l.]:IEEE Press,1992:104-108.
  • 7BOU-GHAZALE S E,ASSALEH K.A robust endpoint detection of speech for noisy environments with application to automatic speech recognition[C]// Proceedings of IEEE ICASSP 02.[S.l.]:IEEE Press,2002:3808-3811.
  • 8韩纪庆,张磊,郑铁然.语音信号处理[M].北京:清华大学出版社,2008.
  • 9李如玮,鲍长春.一种基于分带谱熵和谱能量的语音端点检测算法[J].北京工业大学学报,2007,33(9):920-924. 被引量：12
  • 10易克出.语音信号处理[M].北京:国防工业出版社,2000.61.65.

引证文献5

二级引证文献22

计算机工程与应用
2006年 第26期

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