BASED ON INTELLIGENT VOICE RECOGNITION OF FOREST ILLEGAL FELLING OF DETECTING METHODS

摘要：

　　Note that unlawful cutting of forest becomes more and more rampant at present,and there is no effective solution for real-time detection of such behavior.An approach based on audio recognition was proposed about unlawful cutting of forest.By the analysis of spectral characteristics of the sound signal,and the calculations of similarity value and signal-to-noise ratio in the proposed approach,it can detect whether there is a chainsaw logging behavior.Experimental results show that the proposed method can eliminate interference sound effectively and identify the chainsaw logging sound accurately in real time.

关键词： Characteristics analysis Signal-to-noise ratio Audio recognition Similarity value

作者: Yunjian Tang Peng Han Zaihuan Wang Longcan Hu Yue Gao Haiyan Li

作者单位: Chongqing Research Center for Information and Automation Technology,Chongqing 401123,China Chongqing University of Posts and Telecommunications,Chongqing 400065,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 1599-1602

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）