2Reynolds D A, Quatieri T F, Dunn R B. Speaker Verification Using Adapted Gaussian Mixture Models. Digital Signal Processing, 2000, 10( 1/2/3 ) : 19 -41.
3Campbell W M, Campbell J P, Reynolds D A, et al. Support Vec- tor Machines for Speaker and Language Recognition. Computer Speech and Language, 2006, 20(2/3): 210- 229.
4Solomonoff A, Quil.len C, Campbell W M. Channel Compensation for SVM Speaker Recognition [ EB/OL]. [ 2004-03-31 ]. http:// www. 11. mit. edu/mission/communications, ist. publications. 04053/ _Solomonff. pdf.
5Kenny P, Ouellet P, Dehak N, et al. A Study of Inter-Speaker Var- iability in Speaker Verification. IEEE Trans on Audio, Speech and Language Processing, 2008, 16 ( 5 ) : 980 - 988.
6Tokuda K, Yoshimura T, Masuko T, et al. Speech Parameter Gen- eration Algorithms for HMM-Based Speech Synthesis// Proc of the IEEE International Conference on Acoustics, Speech and Signal Pro- cessing. Istanbul, Turkey, 2000:1315 - 1318.
7Masuko T, Tokuda K, Tobayashi T. Imposture Using Synthetic Speech against Speaker Verification Based on Spectrum and Pitch// Proc of the 6th International Conference on Spoken Language Pro- cessing. Beijing, China, 2000 : 302 - 305.
8Jin Qin, Toth A R, Black A W, et al. Is Voice Transformation a Threat to Speaker Identification.'? // Proc of the IEEE International Conference on Acoustics, Speech and Signal Processing. Las Vegas, USA, 2008 : 4845 - 4848.
9Kawahara H, Masuda-Katsuse I, de Cheveigne A. Restructuring Speech Representations Using Pitch-Adaptive Time-FrequencySmoothing and an Instantaneous-Frequency-Based F0 Extraction: Possible Role of a Repetitive Structure in Sounds. Speech Communi- cation, 1999, 27(3/4) : 187 -207.