期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2017
卷号：8
期号：1
页码：11
DOI：10.5121/sipij.2017.8102
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This study aimed to estimate the original voice signal which is interrupted by noise with MMSE methodbased on Wiener filter. The Wiener filter is classified as the MMSE estimator studied by previousresearchers. The study assessed the voice signal input count down by European woman that are distortedby two types of noises, the one is noise based on the outdoor location, sound of siren firefighter, and theother is the indoor location noise, which represented by noise in lecturer room in campus. The two processsignal is estimated by MMSE estimator which approximated by Wiener filter that must have founded andcounted the covariance of each signal processes are related to the system. Thus the researchers tried toestimate both types of sounds noisy European woman are due to interference noise source of fire fighterand faculty room and assess its impact in the form of graphs vote against a function of time, the patternshape of the signal and SNR.
关键词：Voice Signal; MMSE method; Wiener filter; covariance
