Title :
Speech enhancement based on audible noise spectrum and short-time spectral amplitude estimator
Author :
Chen, Hunze ; Wu, Chung-Hsien
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
5/9/2002 12:00:00 AM
Abstract :
Subtractive-type algorithms are effective in reducing background noise, but always produce musical noise. An algorithm based on an audible noise spectrum is proposed and tested using various noise types and levels. The performance evaluation shows that the residual noise is significantly removed and it renders better quality than those without masking
Keywords :
acoustic noise; amplitude estimation; least mean squares methods; spectral analysis; speech enhancement; MMSE; audible noise spectrum; musical noise; residual noise; short-time spectral amplitude estimator; speech enhancement; subtractive-type algorithms;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020324
