摘要
针对传统时延估计方法易受噪声和混响影响的问题,提出了一种基于麦克风阵列的时延估计新方法。该方法充分利用多个麦克风的空域信息和每个麦克风时域信息,以提高算法对环境噪声的抑制能力。该方法在抗噪声和抗混响性能方面都优于常用的PHAT-GCC（Phase Transform-Generalized Cross Correlation）方法。仿真实验表明,与MCCC（Multichannel Cross Correlation Coefficient）方法相比,在信噪比为20 dB,阵元个数为2～6个,混响时间在200～620 ms条件下,该方法的时延估计错误率明显降低。
In order to solve the problem that echo and noise affect the performance of traditional time-delay estimation approach,a new method is proposed by exploiting spatial-information of multiple microphones and time-domain information of each microphone adequately.The method has better performance than the PHAT-GCC（Phase Transform-Generalized Cross Correlation） method in suppressing echo and noise.Compared with the MCCC（Multichannel Cross Correlation Coefficient） method,the new method has evident advantage in suppressing echo.The simulation examples indicate when SNR（Signal-to-Noise Ratio） is 20 dB,the number of microphone is from 2 to 6 and the echo time is from 200 ms to 620 ms,the rates of the new time-delay estimation approach decline evidently.
出处
《吉林大学学报（信息科学版）》
CAS
2008年第3期223-229,共7页
Journal of Jilin University（Information Science Edition）
基金
教育部科学技术研究重点基金资助项目(7150080050)
关键词
时延估计
麦克风阵列
广义互相关函数法
多通道
time-delay estimation
microphone array
generalized cross correlation（GCC）
multi-channel
