Broadband Deterministic Blind Beamforming for Speech Separation Using Microphone Arrays via Rotational Invariance Techniques

摘要：

In this paper a novel approach for speech separation using microphone arrays is presented. It belongs to the class of 1deterministic blind beamforming (DBBF) approaches via rotational invariance techniques. Since speech should be considered as broadband sources in microphone array related applications, the conventional narrowband DBBF is extended to broadband cases in this paper. Utilizing the nonstationarity of speech, DBBF is implemented at the frequency bins of interest. In order to cope with the problem of channel swap, a rearranging operation is performed, based on the correlation coefficients between the frequency domain separated sequences of adjacent bins. Moreover, the scale ambiguity, another drawback of the general blind source separation approaches, is also eliminated in this paper. Numerical examples confirm the effectiveness of the proposed approach.

作者: LIN Jing-Ran PENG Qi-Cong

作者单位: Department of Communication and Information Engineering University of Electronic Science and Technology of China (UESTC) Chengdu, Sichuan, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 271-275

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）