[1]
|
Reynolds D A, Quatieri T F, Dunn R B. Speaker verification using adapted Gaussian mixture models. Digital Signal Processing, 2000, 10(1-3): 19-41
|
[2]
|
Kinnunen T, Li H Z. An overview of text-independent speaker recognition: from features to supervectors. Speech Communication, 2010, 52(1): 12-40
|
[3]
|
Li Zhi-Yi, He Liang, Zhang Wei-Qiang, Liu Jia. Speaker recognition based on discriminant i-vector local distance preserving projection. Journal of Tsinghua University (Science and Technology), 2012, 52(5): 598-601 (栗志意, 何亮, 张卫强, 刘加. 基于鉴别性i-vector局部距离保持映射的说话人识别. 清华大学学报(自然科学版), 2012, 52(5): 598601)
|
[4]
|
Campbell W M, Campbell J P, Reynolds D A, Singer E, Torres-Carrasquillo P A. Support vector machines for speaker and language recognition. Computer Speech and Language, 2006, 20(2-3): 210-229
|
[5]
|
Kenny P, Boulianne G, Ouellet P, Dumouchel P. Speaker and session variability in GMM-based speaker verification. IEEE Transactions on Audio, Speech, and Language Processing, 2007, 15(4): 1448-1460
|
[6]
|
Kenny P, Boulianne G, Ouellet P, Dumouchel P. Joint factor analysis versus eigenchannels in speaker recognition. IEEE Transactions on Audio, Speech, and Language Processing, 2007, 15(4): 1435-1447
|
[7]
|
Dehak N, Kenny P J, Dehak R, Dumouchel P, Ouellet P. Front-end factor analysis for speaker verification. IEEE Transactions on Audio, Speech, and Language Processing, 2011, 19(4): 788-798
|
[8]
|
Kenny P, Boulianne G, Dumouchel P. Eigenvoice modeling with sparse training data. IEEE Transactions on Speech and Audio Processing, 2005, 13(3): 345-354
|
[9]
|
Hatch A O, Kajarekar S S, Stolcke A. Within-class covariance normalization for SVM-based speaker recognition. In: Proceedings of the International Conference on Spoken Language. Pittsburgh, PA, 2006. 1471-1474
|
[10]
|
Bishop C M. Pattern Recognition and Machine Learning. Berlin: Springer, 2008
|
[11]
|
Sonnenburg S, Rätsch G, Henschel S, Widmer C, Behr J, Zien A, de Bona F, Binder A, Gehl C, Franc V. The SHOGUN machine learning toolbox. Journal of Machine Learning Research, 2010, 11: 1799-1802
|
[12]
|
Cortes C, Vapnik V. Support-vector networks. Machine Learning, 1995, 20(3): 273-297
|