Voice Activity Detection with Decision Trees in Noisy Environments

摘要：

An improved project based on double thresholds method in noisy environments is proposed for robust endpoints detection. Firstly, in this method, the distribution of zero crossing rate (ZCR) on the preprocessed signal is taken into account, and then the speech signal is divided into different parts to obtain appropriate thresholds with decision trees on the basis of the ZCR distribution. Finally, the double thresholds method, focusing on different importance of the energy and ZCR, is taken in the corresponding situation to determine the input segment is speech or non-speech. Simulation results indicate that the proposed method with decision trees obtains more accurate data than the traditional double thresholds method.

关键词： voice activity detection (VAD) zero crossing rate (ZCR) distribution density thresholds

作者: Hu da-li Yi liangzhong Pei zheng Luo Bing

作者单位: School of Mathematics & Computer Engineering, Xihua University, Chengdu 610039 Sichuan Police College, Chengdu 646000

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 749-752

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）