A Robust Algorithm of Double Talk Detection Based on Voice Activity Detection

摘要：

Double talk detection is used in acoustic echo cancellation system to keep adaptive filter from divergence. This paper describes a new real-time double talk detention algorithm. Voice activity detection algorithm is used to detect the point end of each speech. And then the algorithm uses a logic unit to detected double talk of dialogue. The new algorithm presented in this paper has robustness against noise and can give a quick track when the channel is changed. The simulation show that the performance of this new algorithm work well compared with the DTD which based only on power ratio or cross-correlation.

作者: Hanbo Bao Yi Yang Jia Liu Xiuguo Bao Qingsheng Yuan

作者单位: Tsinghua National Laboratory for Information Science and Technology,Tsinghua University, Beijing 100 CNCERT/CC, Yumin Road, Chaoyang District, Beijing 100029, China

会议类型: 国际会议

会议名称: 第十届中国虚拟现实年会

会议地点: 上海

会议语种:英文

页码: 12-15

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）