Abstract
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 language | English |
|---|---|
| Title of host publication | Proceedings of Meetings on Acoustics |
| Volume | 19 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America - Montreal, QC, Canada Duration: 2013 Jun 2 → 2013 Jun 7 |
Other
| Other | 21st International Congress on Acoustics, ICA 2013 - 165th Meeting of the Acoustical Society of America |
|---|---|
| Country | Canada |
| City | Montreal, QC |
| Period | 13/6/2 → 13/6/7 |
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ASJC Scopus subject areas
- Acoustics and Ultrasonics
Cite this
Wind noise reduction using empirical mode decomposition. / Yatabe, Kohei; Oikawa, Yasuhiro.
Proceedings of Meetings on Acoustics. Vol. 19 2013. 055062.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Wind noise reduction using empirical mode decomposition
AU - Yatabe, Kohei
AU - Oikawa, Yasuhiro
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1121/1.4800880
DO - 10.1121/1.4800880
M3 - Conference contribution
VL - 19
BT - Proceedings of Meetings on Acoustics
ER -