Binaural speech enhancement method by wavelet transform based on interaural level and argument differences

Author(s):  
Satoshi Hongo ◽  
Shuichi Sakamoto ◽  
Yoiti Suzuki
2013 ◽  
Vol 645 ◽  
pp. 179-183
Author(s):  
Yao Qi Wang ◽  
Xiao Peng Wang ◽  
Raji Rafiu King

A new method of speech enhancement is proposed based on morphological filter and wavelet transform. The system begins by first conducting morphological filtering, then distinguishing the unvoiced, voiced and noise using TEO in the wavelet domain. It then executes wavelet transform using different threshold on multiscale, and at the same time to improve the threshold function. Experimental results showed that the method not only suppressed noise effectively but also reduced the loss of the unvoiced. It also not only enhanced SNR, but also improved voice clarity and comfort. The merits it espouses makes it an effective speech enhancement algorithm.


2014 ◽  
Vol 912-914 ◽  
pp. 1386-1390
Author(s):  
Li Ming Wu ◽  
Yao Fei Li ◽  
Fu Jian Li ◽  
Xin Luo

A new speech enhancement method based on bionic wavelet transform is presented here. Voice signals with noise would be bionic wavelet coefficients by bionic wavelet transform, then, the purpose of speech enhancement can be achieved by means of the bionic wavelet coefficients based on the improved correlation function processing. The simulation results show that the method under the condition of various noises is good speech enhancement effect. Keywords: Speech enhancement; BWT; Correlation de-noising


2021 ◽  
Author(s):  
Kaibei Peng ◽  
Xiaoming Sun ◽  
Haowei Chen ◽  
Zhen He ◽  
Jianrong Wang

2014 ◽  
Vol 13 (10) ◽  
pp. 1730-1736 ◽  
Author(s):  
Cao Bin-Fang ◽  
Li Jian-Qi ◽  
Qu Peixin ◽  
Peng Guang-Han

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