摘要： 在带有混响和噪音的复杂环境中,传统广义互相关时延估计算法的抗噪能力弱、时延估计精度低。为解决该问题,基于前向空间线性预测技术,提出一种时延估计算法。结合多传感器提供的冗余信息与空间相关矩阵,改进不利声学环境下的声达时间差估计方法。采用空-时预测法,根据麦克风阵列输出中包含的语音信号源的空间和时间相关性,在抑制多麦克风噪声的同时最小化语音失真。仿真实验结果表明,与传统广义互相关时延估计算法相比,该算法时延估计错误率更低、稳定性更强。

关键词: 声源定位, 时延估计, 噪声抑制, 空-时预测, 前向空间线性预测, 空间相关矩阵

Abstract: In order to solve the problem that the traditional generalized cross correlation time delay estimation algorithm has poor anti-noise ability and low precision of time delay estimation in complex environment with reverberation and noise,a time delay estimation algorithm based on Forward Spatial Linear Prediction(FSLP) is proposed.Combined with the redundant information and the spatial correlation matrix,the estimation method of the time difference of arrival time in adverse acoustic environment is improved.The space-time prediction algorithm which is based on the spatial and temporal correlation of the speech signal source in the microphone array output can suppress the noise and minimize speech distortion.Simulation results show that,compared with the traditional generalized cross correlation time delay estimation algorithm,the time delay estimation error rate of the proposed algorithm is lower and the stability is higher.

Key words: sound source localization, time delay estimation, noise suppression, space-time prediction, Forward Space Linear Prediction(FSLP), spatial correlation matrix

中图分类号: 

• TN911.72