Wind noise reduction using empirical mode decomposition

Kohei Yatabe*, Yasuhiro Oikawa

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


One common problem of outdoor recordings is a contamination of wind noise which has highly non-stationary characteristics. Although there are a lot of noise reduction methods which work well for general kinds of noises, most methods perform worse for wind noise due to its non-stationary nature. Therefore, wind noise reduction need specific technique to overcome this non-stationary. Empirical mode decomposition (EMD) is a relatively new method to decompose a signal into several data-driven bases which are modeled as amplitude and frequency modulated sinusoids that represent wind noise better than quasi-stationary analysis methods such as short-time Fourier transform since it assumes an analyzing signal as non-stationary. Thus, EMD has a potential to reduce wind noise from recorded sounds in an entirely different way from ordinary methods. In this paper, the method to apply EMD as a wind noise suppressor is presented. The experiment is performed on a female speech superimposed with wind noise, and the results showed its possibility.

Original languageEnglish
Article number055062
JournalProceedings of Meetings on Acoustics
Publication statusPublished - 2013 Jun 19
Externally publishedYes
Event21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada
Duration: 2013 Jun 22013 Jun 7

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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