On-line Gaussian mixture modeling in the log-power domain for signal-to-noise ratio estimation and speech enhancement

2006 ◽  
Vol 48 (11) ◽  
pp. 1515-1527 ◽  
Author(s):  
Tran Huy Dat ◽  
Kazuya Takeda ◽  
Fumitada Itakura
Keyword(s):  
Speech Enhancement ◽  
Signal To Noise Ratio ◽  
Gaussian Mixture ◽  
Mixture Modeling ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Gaussian Mixture Modeling ◽  
Power Domain ◽  
On Line ◽  
Noise Ratio

Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning

2020 ◽  
Author(s):  
Hao Li ◽  
DeLiang Wang ◽  
Xueliang Zhang ◽  
Guanglai Gao
Keyword(s):  
Deep Learning ◽  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals Signal-to-Noise Ratio Estimation in Passive Correlation-Based Imaging

2013 ◽  
Vol 6 (2) ◽  
pp. 1092-1110 ◽  
Author(s):  
Josselin Garnier ◽  
George Papanicolaou ◽  
Adrien Semin ◽  
Chrysoula Tsogka
Keyword(s):  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Noise Ratio
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