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一种基于最小能量统计的语音增强改进算法 被引量：3

An Improved Speech Enhancement Algorithm Based on Minimum Statistics
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摘要 针对基于最小能量统计的语音增强算法,用可靠的噪声段检测方法对噪声谱估计流程进行改进,提升噪声谱幅度估计的准确度。实验表明,此方法能有效地追踪背景噪声的变化情况,进而提升语音增强的效果。 An improved speech enhancement algorithm based on minimum statistics is proposed in this paper. The noise power estimation scheme is improved by using a reliable noise frame detection method. The experiment result shows that the proposed method can trace the variation of the noise floor efficiently, and lead to an improved speech enhancement result.
作者 翟士奇 卢晶 邹海山
机构地区 南京大学声学研究所
出处 《电声技术》 2012年第9期41-43,57,共4页 Audio Engineering
基金 国家自然科学基金项目(11004101)
关键词 语音增强 谱估计 非稳态噪声 speech enhancement spectrum estimation non- stationary noise
分类号 TN912 [电子电信—通信与信息系统]
  • 相关文献

参考文献7

  • 1LOIZOU P C. Speech enhancement: theory and practice [M]. [S. 1. ]:CRC Press,2007.
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  • 3黄苏雨,梁声灼,黄苏园.语音增强方法综述[J].计算机与现代化,2007(3):16-20. 被引量：17
  • 4MARTIN R. Noise power spectral density estimation based on optima smoothing and minimum statistics [ J ]. IEEE Trans. Speech and Audio Processing, 2001,9 ( 5 ) : 504 - 512.
  • 5BOLL S. Suppression of acoustics noise in speech using spec- tral subtraction [ J ]. IEEE Trans. on Acoustic Speech and Signal Processing, 1979,27 (2) : 113 - 120.
  • 6吕勇,方元.基于最小频带能量的变噪声电平语音增强[J].电声技术,2006,30(2):47-51. 被引量：4
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二级参考文献22

  • 1BOLL S F. Suppression of acoustic noise in speech using spectral subtraction[J]. IEEE Trans. Acoust., Speech,Signal Processing, 1979,27 (2) : 113-120.
  • 2VIRAG N. Single channel speech enhancement based on masking properties of the human auditory system[J]. IEEE Trans. on Speech and Audio Processing,1999,7 (2):126-137.
  • 3MARTIN R. Noise power spectral density estimation based on optimal smoothing and minimum statistics [J]. IEEE Trans. on Speech and Audio Processing,2001,9(5):504-512.
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共引文献19

同被引文献17

  • 1钱国青,赵鹤鸣.基于改进谱减算法的语音增强新方法[J].计算机工程与应用,2005,41(35):42-43. 被引量：18
  • 2吕勇,方元.基于最小频带能量的变噪声电平语音增强[J].电声技术,2006,30(2):47-51. 被引量：4
  • 3QUATIERIT F.Discrete-time speech signal processing:principles and practice[M]{H}北京:电子工业出版社,2004.
  • 4BOLL S F. Suppression of acoustic noise in speech using spectral subtraction[J].Acoustics Speech and Signal Processing,1979,(02):113-120.
  • 5VIRAG N. Single channel speech enhancement based on masking properties of the human auditory system[J].Speech and Audio Processing,1999,(02):126-137.doi:10.1109/89.748118.
  • 6MARTIN R. Noise power spectral density estimation based on optimal smoothing and minimum statistics[J].Speech and Audio Processing,2001,(05):504-512.
  • 7COHEN I,BERDUGO B. Noise estimation by minima controlled recursive averaging for robust speech enhancement[J].Signal Processing Letters,2002,(01):12-15.
  • 8BOLL S F. Suppression of acoustic noise in speech using spectrum subtraction[J].Acoustic speech and Signal Processing IEEE Transaction,1979,(2):113-120.
  • 9Martin B. Spectrum Subtraction Based on Minimum Statistics[J].European Signal Processing,1994.1128-1185.
  • 10Doblinger G. Computationally Efficient Speech Enhancement by Spectrum Minima Tracking in Sub-band[J].Eurospeech,1995,(2):1513-1516.

引证文献3

二级引证文献4

电声技术
2012年 第9期

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