基于Remez算法的多媒体阅读语音快速降噪算法

A fast denoising algorithm for multimedia reading speech based on Remez algorithm

针对多媒体阅读语音信号存在不平稳性和复杂性的问题,在现有降噪方法的基础上,提出一种基于Remez的语音快速降噪算法,具体则是联合FIR优化滤波器和小波阈值降噪法对语音信号进行综合降噪处理。首先将Remez算法应用到FIR滤波器的优化中,然后联合小波阈值降噪法和FIR优化滤波器进行语音降噪。仿真实验表明,基于Remez的语音快速联合降噪法可以对语音进行有效降噪,并提高了降噪速度。

In order to solve the problems of uneven and complex speech signals in multimedia reading,a fast speech denoising algorithm is proposed based on Remez on the basis of existing denoising methods,and combined FIR optimized filter and wavelet threshold denoising method to denoise speech signals.First,Remez algorithm based on the alternating principle was applied to the optimization of FIR filters.Then,wavelet threshold denoising method and FIR optimized filter were combined to reduce speech noise.Finally,simulation experiments were carried out to verify the application effect of the method.It is proved that Remez based fast combined speech noise reduction method can effectively reduce speech noise and improve the speed of noise reduction.