Speech Enhancement Algorithm Using Sub band Two Step Decision Directed Approach with Adaptive Weighting factor and Noise Masking Threshold

2011 ◽  
Vol 7 (6) ◽  
pp. 941-948
Author(s):  
Dhanaskodi
Author(s):  
T. Muni Kumar ◽  
M.B.Rama Murthy ◽  
Ch.V.Rama Rao ◽  
K.Srinivasa Rao

This paper deals with musical noise result from perceptual speech enhancement type algorithms and especially wiener filtering. Although perceptual speech enhancement methods perform better than the non perceptual methods, most of them still return annoying residual musical noise. This is due to the fact that if only noise above the noise masking threshold is filtered then noise below the noise masking threshold can become audible if its maskers are filtered. It can affect the performance of perceptual speech enhancement method that process audible noise only. In order to overcome this drawback here proposed a new speech enhancement technique. It aims to improve the quality of the enhanced speech signal provided by perceptual wiener filtering by controlling the latter via a second filter regarded as a psychoacoustically motivated weighting factor. The simulation results shows that the performance is improved compared to other perceptual speech enhancement methods


Bioengineered ◽  
2016 ◽  
Vol 7 (5) ◽  
pp. 352-356 ◽  
Author(s):  
Gihyoun Lee ◽  
Sung Dae Na ◽  
KiWoong Seong ◽  
Jin-Ho Cho ◽  
Myoung Nam Kim

2016 ◽  
Vol E99.D (7) ◽  
pp. 1945-1948 ◽  
Author(s):  
Gihyoun LEE ◽  
Sung Dae NA ◽  
KiWoong SEONG ◽  
Jin-Ho CHO ◽  
Myoung Nam KIM

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