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- Publisher
- Springer International Publishing
- Copyright
- © The Author(s) 2014
- ISBN
- 978-3-319-02731-9
- Pages
- 21 –24
- DOI
- 10.1007/978-3-319-02732-6_4
- Publisher site
- See Chapter on Publisher Site
Abstract
[Wavelet analysis has been widely used for noise suppression in signals. The multiresolution properties of wavelet analysis reflect the frequency resolution of the human ear. The wavelet transform (WT) can be adapted to distinguish noise in speech through its properties in the time and frequency domains.]
Published: Dec 10, 2013
Keywords: Speech enhancement; Wavelet thresholding; Wavelet denoising