Analysis of MMSE Speech Estimation Impact in West Sumatra's Noises

Suardinata, V. Sayuthi, Zainul Efendy
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Abstract

This study aimed to estimate the original voice signal which is interrupted by noise with MMSE method based on Wiener filter. The Wiener filter is classified as the MMSE estimator studied by previous researchers. The study assessed the voice signal input count down by European woman that are distorted by two types of noises, the one is noise based on the outdoor location, sound of siren firefighter, and the other is the indoor location noise, which represented by noise in lecturer room in campus. The two process signal is estimated by MMSE estimator which approximated by Wiener filter that must have founded and counted the covariance of each signal processes are related to the system. Thus the researchers tried to estimate both types of sounds noisy European woman are due to interference noise source of fire fighter and faculty room and assess its impact in the form of graphs vote against a function of time, the pattern shape of the signal and SNR.
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西苏门答腊岛噪声中MMSE语音估计影响分析
本研究旨在利用基于维纳滤波的MMSE方法对被噪声干扰的原始语音信号进行估计。维纳滤波器被归类为前人研究的MMSE估计器。本研究评估了欧洲女性的语音信号输入倒计时被两种噪音扭曲的情况,一种是基于室外位置的噪音,即消防队员的警报声,另一种是基于室内位置的噪音,以校园教室的噪音为代表。两个过程信号由MMSE估计器估计,该估计器由维纳滤波器逼近,必须建立并计算与系统相关的每个信号过程的协方差。因此,研究人员试图估计这两种类型的声音嘈杂的欧洲妇女是由于干扰噪声源的消防员和教师的房间,并评估其影响的图表形式投票反对一个函数的时间,模式形状的信号和信噪比。
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