多通道CDR线性预测语音去混响方法

针对封闭环境下的混响对智能语音处理系统性能的影响,论文提出了一种麦克风阵列语音去混响方法.考虑到阵列接收信号所构建的协方差矩阵存在部分数值为零,进而造成输出语音信号失真的情况,论文给出基于两个通道语音信号功率谱的相干扩散功率比(CDR)来实现协方差初始化,采用递归平均得到阵列接收信号协方差矩阵的估计值,进行通过多通道线...

Speech Dereverbration Using Multi-Channel CDR Linear Prediction

In order to avoid the impact of reverberation in enclosed environments on the intelligent speech processing system , an adaptive speech dereverbration method was proposed in this thesis. Given that some values of the covariance matrix constructed by the speech signal on microphone array might be zero, which may cause distortion of the output speech signal. The speech dereverbration using multi-channel linear prediction (MCLP) were adopted in the thesis, based on double-channel coherent-to-diffuse power ratio (CDR) covariance initialization and employing estimated value of the covariance matrix of the array received signals obtained by recursive averaging. The experimental results show that the improved MCLP algorithm is more effective by comparing different methods in different reverberation environments.