International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 116 | Views: 228

Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 11, November 2014

Application of Empirical Mode Decomposition in Denoising a Speech Signal

Sonam Maheshwari | Dimpy

Abstract: This paper attempts to review and summarize the use of Empirical mode decomposition (EMD) for denoising a speech signal. EMD, introduced by Huang et al in 1998 gives time-frequency representation of non-linear and non-stationary signals. It decomposes a signal into a sum of finite zero-mean, oscillating components called as intrinsic mode functions based on the local time characteristics of the signal. Main essence of the method is its adaptive and data driven nature.

Keywords: Emirical mode decomposition, IMF, Wavelet transform, Hard and soft thresholding, Denoising

Edition: Volume 3 Issue 11, November 2014,

Pages: 202 - 204

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