Pnn-Based Algorithm for the Recognition Of Speakers

摘要：

Based on analysis of the conventional speech signal identical algorithm,an improved algorithm for the speaker recognition is introduced.It is a method based on the probabilistic neural network (PNN),which uses Mel Frequency Ceptral Coefficients(MFCC) as human sound feature parameters. The experiment has shown the high accuracy of the proposed algorithm in the classification of training samples and testing samples. The experiment results also validate the effectiveness of the method.

关键词： Speaker recognition Speech identification MFCCs Feature abstraction PNN.

作者: Ye Fang Yabin Zhou

作者单位: School of Electronics Information Xian Polytechnic University,Shaanxi,Xian 710048 School of Mechanical Engineering,Xian Jiaotong University,Shaanxi,Xian 710049

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 104-107

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）