Blind Separation Algorithm for Microphone Array Based on Recursive Neural Network

摘要：

The blind signal Separation technology is found to be an effective way of audio enhancement for the microphone array.Due to the size restriction of the microphone array,each microphone in the array is close to one another,therefore the vectors of the mix-matrix are highly similar to each other. This will case the limitation of convergence slowly and increase the error of outputs. In this paper,we give out a blind signal separation algorithm based on recursive neural network,and prove it to be useful in the situation mentioned above.

关键词： BSS ICA recursive neural network microphone array

作者: Fan Jiajun Fu Yuzhuo Liu Ting

作者单位: School of Microelectronics,Shanghai Jiaotong University,Shanghai 200240 School of Mieroelectronics,Shanghai Jiaotong University,Shanghai 200240

会议类型: 国际会议

会议名称: 2009 IEEE 8th International Conference on ASIC(第八届IEEE国际专用集成电路大会)

会议地点: 长沙

会议语种:英文

页码: 937-940

在线出版日期: 2009-10-20（万方平台首次上网日期，不代表论文的发表时间）