Dual-Channel Optimally Modified Log-Spectral Amplitude Estimator Using Spatial Information

摘要：

In this paper, we present a dual channel speech enhancement algorithm using optimally modified logspectral amplitude estimator based on spatial information, which minimizes the mean-square error of the log-spectral for speech signals under target presence uncertainty. A target presence probability estimator based on the phase difference and magnitude squared coherence information to distinguish signals coming from the desired and undesired directions in each frequency bin is proposed. Experimental results show that the proposed algorithm achieves significantly reduced level of nonstationary noise without further distorting the desired signal components over the comparative algorithms.

关键词： speech enhancement microphone array phase difference magnitude squared coherence spectral amplitude estimator

作者: Kai Li Qiang Fu Yonghong Yan

作者单位: Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics,Chinese Academy of Sciences. No.21 Beisihuan Xilu, Beijing, 100190, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2430-2434

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）