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基于最小统计及谱减法的语音增强 被引量：1

Speech Enhancement Approach Based on Minimum Estimate and Spectral Subtraction
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摘要 提出了一个基于最小统计及谱减法的语音增强方法。不采用端点检测,在语音帧内及噪声帧内都进行噪声更新。为了实时应用的需求,提出了一种加快最小值更新的方法,实验表明,该方法能有效削弱变电平噪声。 in this paper, a speech enhancement approach using minimum estimate and spectral subtraction is proposed. The noise estimation is updated in both speech frame and noise frame without the voice activity detection. A minima searching method is proposed for real-time application. The simulating results show that this algorithm works efficiently.
作者 曹瑜镠 方元 吕勇
机构地区 南京大学电子科学与工程系
出处 《电声技术》 2006年第12期43-46,共4页 Audio Engineering
关键词 最小统计 最优平滑 谱减法 语音增强 minimum estimate optimal smoothing spectral subtraction speech enhancement
分类号 TN912 [电子电信—通信与信息系统]
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参考文献11

  • 1BOLL S. Suppression of acoustic noise in speech using spectral subtraction[J]. IEEE Transactions on Acoustics,Speech, and Signal Processing, 1979,27(2) : 113-120.
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二级参考文献6

  • 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.
  • 4COHEN I, BERDUGO B. Noise estimation by minima controlled recursive averaging for robust speech enhancement[J]. IEEE Signal Processing Letters,2002,9 ( 1 ) : 12-15.
  • 5Chin-Teng Lin. Single-channel speech enhancement in variable noise-level environment[J]. IEEE Trans. on Systems, Man and Cybernetics-Part A: Systems and Humans, 2003,33 ( 1 ) : 137-143.
  • 6蔡汉添,袁波涛.一种基于听觉掩蔽模型的语音增强算法[J].通信学报,2002,23(8):93-98. 被引量：16

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电声技术
2006年 第12期

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