Recognition of Aircraft Engine Sound Based on GMM-UBM Model

摘要：

　　Gaussian mixture model-universal background model(GMM-UBM)is a commonly-used speaker recognition technology,and which has achieved good effect for detection speakers sound.In this paper,we explore GMM-UBM method for use with abnormal aircraft engine sound detection.We designed a GMM-UBM based aircraft engine sound recognition system,which extracts MFCC feature parameters and trains the GMM-UBM models using maximum a posteriori(MAP)adaptive algorithm.Experimental results show the GMM-UBM based aircraft engine sound recognition system can achieve higher recognize rate in real-word aircraft engine sound test.

关键词： Speaker Recognition GMM-UBM MFCC Abnormal sound detection MAP

作者: Shuai Yuan Chengli Sun Haoge Yang

作者单位: Science and Technology on Avionics Integration Laboratory,Shanghai,China Information School,Hangkong University,Nanchang,China

会议类型: 国际会议

会议名称: 2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)(2017电子信息技术与计算机工程国际会议)(EITCE2017)

会议地点: 珠海

会议语种:英文

页码: 1-4

在线出版日期: 2017-09-23（万方平台首次上网日期，不代表论文的发表时间）