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基于TEO能量谱减法的语音增强技术的研究 被引量:2

RESEARCH ON SPEECH ENHANCEMENT BASED ON TEO ENERGY SPECTRAL SUBTRACTION
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摘要 谱减法是目前减少噪声干扰、提高语音质量的一种有效方法。为了进一步提高谱减法的去噪性能,提出一种基于TEO(Teager Energy Operator)能量的改进谱减法。该方法利用TEO能量对带噪语音进行语音活动检测,区别出噪声段和语音段,对噪声段和语音段分别进行谱减处理,既保证了语音质量,又尽可能地消除了噪声干扰。在F16战斗机噪声环境中对算法性能进行测试,结果表明,该方法提高了输出信噪比,抑制了音乐噪声,具有良好的语音增强效果。 Abstract Spectral subtraction is an efficient way to reduce noise interference and improve speech quality at present. In order to improve the de-noising performance of spectral subtraction, an improved spectral subtraction based on TEO (Teager energy operator) energy is pro- posed. It uses TEO energy to detect the voice activity in noisy speech in order to distinguish the noise segment and the voice segment and car- ties out spectral subtraction processing on them separately. In this way, the speech quality is guaranteed and the noise is removed as much as possible. The performance of the algorithm is tested in F16 fighter noise environment. Experiments show that this method can improve the out- put SNR and suppress the musical noise, it has a better speech enhancement effect as well.
作者 崔兆国 周萍
出处 《计算机应用与软件》 CSCD 北大核心 2014年第1期151-153,共3页 Computer Applications and Software
基金 国家自然科学基金项目(6096100 2) 广西自然科学基金项目(2012GXNSFAA053221)
关键词 谱减法 语音增强TEO语音活动检测 Spectral subtraction Speech enhancement TEO Voice activity detection
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参考文献8

  • 1洪晓芬.基于谱减法的改进语音增强方法[J].计算机工程与设计,2007,28(22):5453-5454. 被引量:8
  • 2徐耀华,郭英,范海宁.语音增强:使用burg谱先验信噪比估计消除“音乐噪声”[J].信号处理,2009,25(1):141-146. 被引量:11
  • 3雷建军,杨震,刘刚,郭军.基于短时谱估计的语音增强研究[J].计算机工程与应用,2008,44(32):6-9. 被引量:10
  • 4Choi M S,Kang H G. An improved estimation of a priori speech ab-sence probability for speech enhancement:in perspective of speech ab-sence probability[A].2005.1117-1120.
  • 5Cohen I. Relaxed statistical model for speech enhancement and a priori SNR estimation[J].IEEE Transactions on Speech and Audio Process-ing,2005,(05):870-881.
  • 6Kim N S,Chang J H. Spectral enhancement based on global soft deci-sion[J].{H}IEEE Signal Processing Letters,2000,(05):108-110.
  • 7Teager H,Teager S. Evidence for nonlinear production mechanisms in vocal tract[J].Speech Production and Speech Modeling,1990,(55):241-261.
  • 8Kaiser J F. On a simple algorithm to calculate the 'energy'of a signal[A].1990.381-384.

二级参考文献33

  • 1刘洞波,李正明,陈进,孙俊.一种基于小波压缩的图像检索系统的研究[J].计算机工程与设计,2004,25(6):921-923. 被引量:11
  • 2陈俊,孙洪,董航.基于MMSE先验信噪比估计的语音增强[J].武汉大学学报(理学版),2005,51(5):638-642. 被引量:6
  • 3王晓娣.多带谱相减结合感觉加权的语音增强方法研究[J].电力系统通信,2005,26(12):50-53. 被引量:6
  • 4Ephraim Y,Lev-Ari H,Roberts W J J.A brief survey of speech enhancement.The Electronic Handbook,CRC Press. [2005].http:// ece.gmu.edu/-yephraim/ephraim.html.
  • 5Ephraim Y,Cohen I.Recent advancements in speech enhancement. The Electrical Engineering Handbook,CRC Press.[2006].http://ece. gmu.edu/-yephraim/ephraim.html.
  • 6Malah D,Cox R.A generalized comb filtering technique for speech enhaneement[C]//Proceedings of ICASSP, 1982: 160-163.
  • 7Lim J S, Oppenheim A V.All-pole modeling of degraded speech[J]. IEEE Trans on Acoustics,Speech and Signal Processing, 1978,26(3 ): 179-210.
  • 8Pellom B L,Hansen J H L.An improved(Auto:I,LSP:T) constrained iterative speech enhancement for colored noise environments [J]. IEEE Transactions on Speech and Audio Processing,1998,6(5): 573-579.
  • 9Ephraim Y,van Trees H L.A signal subspace approach for speech enhancement[J].IEEE Trans on Speech and Audio Processing, 1995, 3(7):251-266.
  • 10Ephraim Y.A Bayesian estimation approach for speech enhancement using hidden Markov models[J].IEEE Trans on Signal Processing, 1992,40(4 ) : 725-735.

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