Performances Evaluation of GMM-UBM and GMM-SVM for Speaker Recognition in Realistic World
暂无分享,去创建一个
[1] Douglas E. Sturim,et al. Support vector machines using GMM supervectors for speaker verification , 2006, IEEE Signal Processing Letters.
[2] Patrick Kenny,et al. Linear and non linear kernel GMM supervector machines for speaker verification , 2007, INTERSPEECH.
[3] Frédéric Bimbot,et al. D-MAP: a distance-normalized MAP estimation of speaker models for automatic speaker verification , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
[4] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[5] Pedro J. Moreno,et al. A Generative Model Based Kernel for SVM Classification in Multimedia Applications , 2004 .
[6] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[7] J. Picone,et al. Speaker Verification using Support Vector Machines , 2006, Proceedings of the IEEE SoutheastCon 2006.
[8] Xin Dong,et al. Speaker recognition using continuous density support vector machines , 2001 .
[9] Abderrahmane Amrouche,et al. An efficient speech recognition system in adverse conditions using the nonparametric regression , 2010, Eng. Appl. Artif. Intell..
[10] Yanlu Xie,et al. A New Hybrid GMM/SVM for Speaker Verification , 2006, 18th International Conference on Pattern Recognition (ICPR'06).
[11] Douglas E. Sturim,et al. SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[12] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[13] Douglas A. Reynolds,et al. Speaker Verification Using Adapted Gaussian Mixture Models , 2000, Digit. Signal Process..