期刊文献+

基于SVD振动提取算法的视频麦克风 被引量:1

Visual Microphone Using SVD-based Vibration Extraction
下载PDF
导出
摘要 当声音撞击物体时,会引起物体表面微小的振动,这种振动往往无法被我们的感官察觉,却可以清楚地呈现在高速相机之下,所以我们可以通过分析拍摄被撞击物体的高速视频提取出这些微小的振动并大致还原出原本的声音。提出了一种基于传统奇异值分解理论(SVD)的振动提取算法,将其应用于对高速视频的分析中。相应实验结果表明,该方法可以实现对语音信息的还原,加以一些简单的去噪和增强处理,可以得到较好的结果。 In this paper,a vibration extraction algorithm based on the traditional singular value decomposition(SVD)is proposed,which is applied to the analysis of high speed video.
出处 《工业控制计算机》 2018年第7期74-75,共2页 Industrial Control Computer
基金 国家973计划(2014CB049500) 国家自然科学基金(51605464) 安徽省科技攻关计划(1704a0902043)支持
关键词 SVD 振动提取 语音还原 高速视频 SVD vibration extraction sound recovery high-speed video
  • 相关文献

参考文献1

二级参考文献16

  • 1Gannot S, Burshtein D, Weinstein E. Iterative and sequential Kalman filter-based speech enhancement algorithms [ J]. IEEE Trans Speech and Audio Process, 1998,6(4) :373-385.
  • 2Kin J B, Lee K Y , Lee C W. On the applications of the interacting multiple model algoritlma for enhancing noisy speech [ J]. IEEE Trans Speech and Audio Process,2000,8(3) :349-352.
  • 3Y Ephraim, H L V Trees. A signal subspace approach for speech enhancement [ J ]. IEEE Trans. Speech and Audio Processing, 1995, 3 ( 7 ) :251-266.
  • 4F Jabloun, B Champagne. A multi - microphone signal subspace approach for speech enhancement [ A ]. In Proc.IEEE ICASSP01 [C]. 2001. 205-208.
  • 5Boll S. Suppression of acoustic noise in speech using spectral subtraction [ J ]. IEEE Trans on Acoustic Speech and Signal Processing, 1979,27 (2) : 113-120.
  • 6Ningping Fan. Low distortion speech denoising using an adaptive parametric Wiener filter [ A ]. IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP) [C].2004,1:12-309.
  • 7Ephraim Y, Malah D. Speech enhancement using a minimummean square error short-time spectral amplitude estimator [ J ]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1984,32(60) : 1109-1121.
  • 8Jax P Vary P. Artificial bandwidth extension of speech signals using MMSE estimation based on a hidden Markov model [ A ]. IEEE International Conference on Acoustics,Speech, and Signal Processing (ICASSP) [ C ]. 2003. 680-683
  • 9S Mallat and W L Hwang. Singularity detection and processing with wavelets[ J]. IEEE Trans on Information Theory, 1992,38(2) :617-643 .
  • 10D L Donoho and I M Johnstone. Adapting to unknown smoothness via wavelet shrinkage [ J ]. Journal of the American Statistical Association, 1995,90: 1200-1224.

共引文献15

同被引文献13

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部