移动通信
移動通信
이동통신
MOBILE COMMUNICATIONS
2014年
10期
59-62,66
,共5页
MMSE-LSA%VAD%语音增强
MMSE-LSA%VAD%語音增彊
MMSE-LSA%VAD%어음증강
MMSE-LSA%VAD%speech enhancement
通过介绍语音增强的特点，详细分析了最小均方误差对数谱幅度估计（MMSE-LSA）算法，并提出了与MMSE-LSA算法相匹配的语音激活检测（VAD）算法。该方案计算简单、易于实现且语音增强效果好，能够动态地跟踪背景噪声的变化。最后通过仿真分析，比较了MMSE-LSA与其它几种语音增强算法的增强效果。
通過介紹語音增彊的特點，詳細分析瞭最小均方誤差對數譜幅度估計（MMSE-LSA）算法，併提齣瞭與MMSE-LSA算法相匹配的語音激活檢測（VAD）算法。該方案計算簡單、易于實現且語音增彊效果好，能夠動態地跟蹤揹景譟聲的變化。最後通過倣真分析，比較瞭MMSE-LSA與其它幾種語音增彊算法的增彊效果。
통과개소어음증강적특점，상세분석료최소균방오차대수보폭도고계（MMSE-LSA）산법，병제출료여MMSE-LSA산법상필배적어음격활검측（VAD）산법。해방안계산간단、역우실현차어음증강효과호，능구동태지근종배경조성적변화。최후통과방진분석，비교료MMSE-LSA여기타궤충어음증강산법적증강효과。
The minimum mean square error of log-spectral amplitude estimator (MMSE-LSA) algorithm is analyzed in detail by introducing the characteristics of speech enhancement, and voice activity detection (VAD) algorithm matching with MMSE-LSA algorithm is proposed. This scheme is simple and easy to implement and its speech enhancement effect is good. In addition, it can track the changes of background noise dynamically. Finally, the enhancement effect of MMSE-LSA is compared with that of other algorithms by the analysis of simulation.
