抑制风噪声的频点离散值加权GCC-PHAT时延估计算法

GCC-PHAT time difference estimation algorithm based on binary frequency weight with suppressing wind noise

针对麦克风阵列使用GCC-PHAT算法估计信号到达时差对加性噪声敏感,以及基于信噪比估计的连续值加权GCC-PHAT算法无法消除环境中类似风噪声的变化噪声干扰的情况,提出了一种抑制风噪声的频点加权GCC-PHAT算法。通过分析已有算法的不足,新算法选择使用离散频点加权,并通过信号频点间相干性量化值和时域关联性计算权值,去除风噪声干扰频点;同时估计声源信号活跃度,调整算法运算量。实验表明,与已有的GCCPHAT算法相比,新算法能有效消除风噪声对估计结果的干扰,同时降低运算负载。

Aiming at the problems that GCC-PHAT algorithm is sensitive to additive noise and the weighted GCC-PHAT algorithm based on prior SNR can ′ t eliminate the jamming of non-stationary noise —— wind noise, an improved GCC-PHAT algorithm is presented. The improved algorithm utilizes the binary frequency weight calculated by magnitude of coherence and correlation in signal adjacent frames to eliminate frequency component disturbed by wind noise. Meanwhile, computational load of the algorithm would be modulated with voice activity according to binary weight. The experiment results show that the proposed algorithm can effectively suppress wind noise and significantly improve computational load.