Title :
Dual tree complex wavelet transform based speech enhancement
Author_Institution :
Elektrik-Elektron. Muhendisligi Bolumu, Adiyaman Univ. Muhendislik Fak., Adyaman, Turkey
Abstract :
Dual tree complex wavelet transform (DT-CWT) has the advantages of nearly shift-invariance and directional selectivity (for two or more dimensions) over the classical discrete wavelet transform. These advantages are essential for many signal processing applications (i.e. image fusion, image enhancement, pattern recognition). In his study, a speech enhancement method based on the DT-CWT has been proposed in order to test its performance in speech enhancement. An efficient estimator, multiplicatively modified log-spectral amplitude (MM-LSA) estimator is used for the enhancement of noisy subband wavelet coefficients. The objective and experimental results show the superiority of the proposed method to the wavelet transform based methods well known in the literature.
Keywords :
amplitude estimation; discrete wavelet transforms; speech enhancement; directional selectivity; discrete wavelet transform; dual tree complex wavelet transform; multiplicatively modified log-spectral amplitude estimator; nearly shift-invariance; noisy subband wavelet coefficients; speech enhancement; Discrete wavelet transforms; Speech; Speech enhancement; Wavelet packets; discrete wavelet transform; dual tree complex wavelet transform; lifting wavelet transform; multiplicatively modified log-spectral amplitude estimator; speech enhancement; stationary wavelet transform; wavelet packet transform;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129955