An Approach of adaptive blocking matrix based on Frequency Domain Independent Component Analysis in Generalized Sidelobe Canceller

摘要：

In this paper, we propose a combined approach of generalized sidelobe cancelling and frequency domain independent component analysis (FD-ICA) for speech enhancement. In conventional generalized sidelobe canceller, the noise reference are often obtained by differencing between microphones, which always causes speech distortion due to leakage in reference signal. We replace the fixed blocking matrix with an adaptive one by applying the FD-ICA method, which can perform a steep null in target direction. Experiment in real environment presents that the enhanced speech obtained by our method has less speech distortion for better noise reference.

关键词： speech enhancement generalized sidelobe canceller FD-ICA adaptive blocking matrix

作者: Juan Li Qiang Fu Yonghong Yan

作者单位: ThinkIT Speech Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 231-234

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）