期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于GMM说话人分类的说话人识别方法研究 被引量：4

Speaker Recognition Research Based on GMM Speaker Clustering Technology
原文传递
导出
摘要 提出了基于高斯混合模型(GMM)说话人分类的分级说话人识别系统,同时将小波神经网络(WNN)引入到子识别系统中。分别对未分级说话人识别系统和分级说话人识别系统进行了比较。仿真实验结果表明,分级网络在保证正确识别率的同时,不仅改善了网络训练速度,亦大大提高了识别响应速度。 Hierarchical speaker recognition system based on Gauss Mixed Model （GMM） speaker clustering technology is proposed, and the model of wavelet neural network （WNN） is introduced into the sub-recognition system. The hierarchical speaker recognition system is compared with the non-hierarchical system. The simulation results show that the hierarchical speaker recognition system is improved in network training speed and recognition response speed.
作者 赵振东 张静 李圆 胡喜梅
机构地区 华北电力大学电子与通信工程系
出处 《通信技术》 2009年第10期192-193,共2页 Communications Technology
关键词 说话人识别 小波神经网络 高斯混合模型 speaker recognition wavelet neural network： Gauss mixed model
分类号 TN392.3 [电子电信—物理电子学]
  • 相关文献

参考文献8

  • 1Qin Jin, Schultz T, Waibel h. Far-Field Speaker Recognition[J]. IEEE Trans. on Audio, Speech and Language processing, 2007, 15(7):2023-2032.
  • 2张东阳,张国杰.说话人识别系统研究[J].通信技术,2007,40(11):356-358. 被引量：5
  • 3梁涛,张国杰,张效军.基于FPGA的说话人识别算法的实现[J].通信技术,2008,41(2):66-69. 被引量：4
  • 4Bing Sun. Hierarchical Speaker Identification Using Speaker Clustering[J]. IEEE 2003:299-304.
  • 5Burget L, Matejka P, Schwarz P. Analysis of Feature Extraction and Channel Compensation in a GMM Speaker Recognition System[J]. Trans. on Audio, Speech and language Processing, 2007,15(7):1979-1986.
  • 6Zhang Qinhua, Benveniste AI. Wavelet Networks[J]. IEEE Trans on Neural Networks, 1992,3(6):889-898.
  • 7Bing Xiang, Berger T. Efficient Text-independent Speaker Verification with Structural Gaussian Mixture Models and Neural Network[J]. IEEE Trans. on Speech and Audio Processing, 2003,11(5):447-456.
  • 8白莹,赵振东,戚银城,王斌,郭建勇.基于小波神经网络的与文本无关说话人识别方法研究[J].电子与信息学报,2006,28(6):1036-1039. 被引量：7

二级参考文献24

  • 1陈立万.基于语音识别系统中DTW算法改进技术研究[J].微计算机信息,2006,22(02Z):267-269. 被引量：28
  • 2彭玉华.小波变换与工程应用[M].京：科学出版社,2002..
  • 3Zhang Qinhua,Benveniste Al.Wavelet networks.IEEE Trans.on NeuralNetworks,1992,3(6):889-898.
  • 4Szu H,Telfer B,Kadambe S.Neural network adaptive wavelets for signal representation and classification.Optical Engineering,1992,31(9):907-1016.
  • 5Zhang J,Walter G.Wavelet neural networks for function learning.IEEE Trans.on Signal Processing,1995,43(6):1485-1497.
  • 6焦李成.神经网络的应用与实现.西安:西安电子科技大学出版社,1996,第一章.
  • 7Yoshihiro Yamamoto,Nikiforuk P N.A new supervised learning algorithm for multilayered and inter-connected neural networks.IEEE Trans.on Neural Network,2000,11(1):36-46.
  • 8Lamel L F,Kessel R H,Seneff S.Speech database development:Design and analysis of the acoustic-phonetic corpus.Proc.Speech Recognition Workshop(DARPA),1986:100-109.
  • 9胡航.语音信号处理[M].第二版,哈尔滨:哈尔滨工业大学出版社,2002.
  • 10Roy D, Pentland A. Automatic spoken affect analysis and classification[C]. ICAFGR, Killington, Vermont, USA, 1996:363- 367.

共引文献13

同被引文献25

  • 1李威武,王慧,邹志君,钱积新.基于细菌群体趋药性的函数优化方法[J].电路与系统学报,2005,10(1):58-63. 被引量：92
  • 2赵连伟,罗四维,赵艳敞,刘蕴辉.高维数据流形的低维嵌入及嵌入维数研究[J].软件学报,2005,16(8):1423-1430. 被引量：54
  • 3徐蓉,姜峰,姚鸿勋.流形学习概述[J].智能系统学报,2006,1(1):44-51. 被引量：67
  • 4BELKIN M, NIYOGI P. Laplacianeigenmaps for Dimen- sionality Reduction and Data Representation [ J ]. Neural Computation ,2003,15 ( 06 ) : 1373-1390.
  • 5SEUNG H S, LEE D D. The Manifold Ways of Perception [ J ]. Science ,2000,290( 5500 ) :2268-2269.
  • 6TENENBAUM J, SILVA D D, LANGFORD J. A Global Geometric Framework for Nonlinear Dimensionality Re- ductiaon[ J]. Science,2000,290(5500) :2319-2323.
  • 7ROWEIS S,SAUL L. Nonlinear Dimensionality Reduction by Locally Linear Embedding [ J ]. Science, 2000, 290 (5500) : 2323-2326.
  • 8HE X F, NIYOGI P. Locality Preserving Projections [ C ]//Advances in Neural Information Processing Sys- tem. Cambridge : MIT Press,2004 : 327- 334.
  • 9HE X F,YAN S C,HU Y X,et al. Face Recognition Using Kaplacian Faces [ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(03) :328-340.
  • 10Deller J R, Hansen J H L, Proakis J G.Discrete-time processing of speech signals[M].New York, USA: Mac- millan Publishing Company, 1993.

引证文献4

二级引证文献12

通信技术
2009年 第10期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部