期刊文献+

非特定环境下去噪性能的分析

Analysis on Non Specific Environmental Noise Performance
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摘要 语音信号是一种非线性时变的信号,因此在传输和存储过程中,很容易受到外界环境的干扰,最主要的是高斯白噪声的干扰。本文针对语音信号的噪声特点,提出在非特定环境下去除噪声的方法。仿真结果表明,在信噪比为63dB的情况下,还原的语音信号能够满足我们人耳的要求,体现了该方法的一般性和可行性。 The speech signal is a nonlinear time -varying signal ,therefore in the process of transmission and storage ,it is easy to be interfered with the external environment ,the most important is the Gauss w hite noise .In this paper ,according to the noise features of speech signals ,the method of removing noise in non specific environment is put forward .The simulation results show that ,when SNR is 63 dB ,the speech signal reduction can meet our ear requirements and reflect the general feasibility and the method .
作者 朱徐来 冯俊
出处 《滁州学院学报》 2013年第5期56-58,共3页 Journal of Chuzhou University
关键词 语音信号 高斯白噪声 短时平均过零率 短时能量 speech signal Gauss white noise short--time average zero croshsing rate short--time energy
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参考文献5

  • 1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.
  • 2国雁萌,盛任农,牟英良.基于能量和浊音特性的语音端点检测[J].计算机工程与应用,2006,42(26):43-45. 被引量:5
  • 3MRTIN A, MAUUARY L. Voicing parameter and energy based speech/nonspeech detection for speech recognition in adverse conditions [C]//Proceedings of EuroSpeech 03. Ge- neva; [s. n. ],2003:3069--3072.
  • 4易克出.语音信号处理[M].北京:国防工业出版社,2000.61.65.
  • 5Andrei Grebennikov. RF and m ienow ave power am plifier design[M]. MeG raw-- Hill Companies, 2005.

二级参考文献8

  • 1ITU-T Recommendation G.729-Annex B:A Silence Compression Scheme for G.729 Optimized for Terminals Conforming to Recommendation V.70[S].1996
  • 2Qi 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
  • 3Sahar 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
  • 4Arnaud 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
  • 5Thomas 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
  • 6Ahmad R Abu-El-Quran,Rafik A Goubran.Pitch-Based Feature Extraction for Audio Classification[C].In:Proc IEEE ICASSP 03,2003:43~47
  • 7Duanpei Wu et al.A robust speech detection algorithm for speech activated hands-free applications[C].In:Proc IEEE ICASSP 99,1999:2407~2410
  • 8ETSI ES 201 108 Recommendation:Speech processing,transmission and quality aspects (STQ); distributed speech recognition; advanced front-end feature extraction algorithm;compression algorithms[S].2002

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