Speech Enhancement Method under Low SNR

2012 ◽  
Vol 457-458 ◽  
pp. 1490-1493
Author(s):  
Wen Long Cai ◽  
Guang Ma

In this document, the pitch period is detected according to the sensitivity to weak sinusoidal signal and strong immunity ability to noise of Duffing oscillator, at the background of strong noise. And then enhancing pitch obtained by harmonic method. The test results show that the enhancing effect of this method is obvious under low SNR condition, and speech distortion is small.

2012 ◽  
Vol 457-458 ◽  
pp. 1490-1493
Author(s):  
Wen Long Cai ◽  
Guang Ma

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.


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

2018 ◽  
Vol 141 ◽  
pp. 333-347 ◽  
Author(s):  
Nasir Saleem ◽  
Muhammad Irfan Khattak ◽  
Muhammad Shafi

2019 ◽  
Vol 22 (1) ◽  
pp. 283-292 ◽  
Author(s):  
Samba Raju Chiluveru ◽  
Manoj Tripathy

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