结合语音包络的变步长LMS语音自动增益控制

针对现有最小均方误差( Least Mean Square, LMS )语音自动增益控制( Automatic Gain Control,AGC)算法其功率参量不能准确表示语音振幅、增益控制效率较低以及增益处理后语音失真较大等问题,提出使用语音包络作为参量的变步长LMS-AGC算法.首先按帧计算语音包络作为参量,提升参...

Variable step size LMS speech automatic gain control by combining speech envelope

To solve the problem that the power parameter of the existing least mean square(LMS) automatic gain control(AGC) algorithm can not accurately represent the speech amplitude,the gain control is inefficient and the speech distortion is large,a variable step LMS-AGC algorithm using speech envelope as parameter is proposed.First,the speech envelope is calculated as a parameter by frame to improve the accuracy of the speech amplitude.Then,the recursively smoothed error square of speech envelope is used to adjust the step size of LMS algorithm and improve the gain response speed.Finally,the algorithm is combined with the low-distortion amplitude limiting to avoid the problem that the LMS-AGC algorithm has over-threshold spike.Experimental results indicate that the algorithm based on speech envelope has faster gain response speed,and the perceptual evaluation of speech quality(PESQ) is improved by 0.4 points on average,and the iterative computation can be reduced by an order of magnitude compared with the existing power-based variable step size LMS-AGC algorithm.