一种改进的虚拟阵列语音信号DOA估计算法

虚拟阵列DOA(Direction Of Arrival)估计算法由于计算量低和资源利用率高得到了快速发展,然而虚拟阵列语音信号DOA估计算法还少有报道.本文为了提高语音信号DOA估计的准确度,对虚拟阵列语音信号DOA估计算法进行了改进.算法首先对接收信号进行能量及熵结合的语音分帧检测;其次基于功率谱方差最小和谱熵最大两个原则分别对检测后的信号进行选帧,并对选出的帧做DOA估计;最后将两者的DOA估计结果进行加权平均.本文对方差选帧的DOA估计结果、谱熵选帧的DOA估计结果和两者加权平均后的DOA估计结果进行了比较.实验结果和分析表明结合方差选帧及谱熵选帧的DOA估计算法在用于虚拟阵列语音信号DOA估计时有更高的准确率.

An improved DOA estimation algorithm of speech signal on virtual array

DOA (Direction Of Arrival) estimation algorithm of virtual array has been developed quickly for its low computation and high resource utilization. However, speech signal DOA estimation algorithm of virtual array is seldom reported. To improve the accuracy of speech signal DOA estimation, an improved DOA estimation algorithm of virtual array speech signal is presented in this paper. The first step of this method is combining the energy and entropy to detect speech. Then, select two speech frames from the detected signals following the minimum power spectrum variance criterion and the maximal spectrum entropy criterion, estimate DOA of the speech source with the two selected frames. In the end, conclude the final result by calculating the weighting average of the first two DOA estimation results. In this paper, DOA estimation results of variance selected frame, DOA estimation results of spectrum entropy selected frame and the weighting average of the first two results are presented and compared. The experimental results and analysis indicate that the method proposed in this paper has better performance.