广东工业大学学报2015，Vol.32Issue(4)：145-149,5.DOI:10.3969/j.issn.1007-7162.2015.04.026
融合AP和GMM的说话人识别方法研究
Research on Speaker Recognition Based on Both AP and GMM
摘要
Abstract
According to the randomness of determining the order of the classical Gaussian Mixture Model ( GMM),affinity propagation ( AP) clustering is recommended to get the order of GMM automatically.A method is proposed to recognize the speakers by applying both AP and GMM.Firstly,the speech feature parameters are extracted by combining the Mel frequency cepstrum coefficient (MFCC) with the differen-tial cepstrum.Secondly,the affinity propagation clustering ( AP clustering ) method is used as the cluste-ring of the speech feature parameters,and then the best steps of GMM are obtained automatically.On this basis,GMM model is trained.Finally,the trained GMM is used for recognizing experiment of speak-ers on Timit standard speech library and self-made network volunteers ' speech library.The experiment results are:the test results are 100%on Timit standard speech library and 97.6%on self-made network volunteers ' speech library in case of obtaining the order of GMM by AP clustering algorithm.There are 168 samples for training which contain 10 Chaoshan samples and 10 Hunan samples and 42 samples for testing on self-made network volunteers ' speech library.The experiment results show that the recommen-ded AP clustering algorithm to get the order of GMM automatically can improve the accuracy and efficien-cy of speaker recognition significantly.关键词
说话人识别/MFCC/AP聚类算法/高斯混合模型Key words
speaker recognition/mel frequency cepstrum coefficient (MFCC)/affinity propagation ( AP) clustering algorithm/Gaussian mixture model (GMM)分类
信息技术与安全科学引用本文复制引用
王波,钟映春,陈俊彬..融合AP和GMM的说话人识别方法研究[J].广东工业大学学报,2015,32(4):145-149,5.基金项目
广东省科技计划项目(2010A030500006) （2010A030500006）
