Platt J C. Probabilities for SV Machines // Smola A J, Scholkpf B, Bartlett P L, et al, eds. Advances in Large Margin Classifiers. Cambridge, USA: MIT Press, 2000: 61-74
[2]
Hsu C W, Lin C J. A Comparison of Methods for Multi-Class Support Vector Machines. IEEE Trans on Neural Networks, 2002, 13(2): 415-425
[3]
Zhou Tongchun. Chinese Phonetics. Beijing, China: Beijing Normal University Press, 1999 (in Chinese) (周同春. 汉语语音学. 北京:北京师范大学出版社, 1990)
[4]
Chang C C, Lin C J. LIBSVM: A Library for Support Vector Machines [EB/OL]. [2001-04-01] http://www.csie.ntu.edu.tw/~cjlin/libsvm
[5]
Li Husheng, Liu Jia, Liu Runsheng. High Performance Digit Mandarin Speech Recognition. Journal of Tsinghua University: Science and Technology, 2000, 40(1): 32-34 (in Chinese) (李虎生, 刘 加, 刘润生. 高性能汉语数码语音识别算法. 清华大学学报: 自然科学版, 2000, 40(1): 32-34)
[6]
Ganapathiraju A, Hamarker J, Picone J. Support Vector Machines for Speech Recognition // Proc of the International Conference on Spoken Language Processing. Sydney, Australia, 1998: 2923-2926
[7]
Aldebaro K. Speech Recognition Using Discriminative Classifiers. Ph.D Dissertation. San Diero, USA: University of California, 2003
[8]
Ganapathiraju A, Hamaker J E, Picone J. Applications of Support Vector Machines to Speech Recognition. IEEE Trans on Signal Processing, 2004, 52(8): 2348-2355
[9]
Smith N, Gales M. Speech Recognition Using SVMs // Dietterich T G, Becker S, Ghahramani Z, eds. Advances in Neural Information Processing Systems 14. Cambridge, USA: MIT Press, 2002: 117-129
[10]
Shimodaira H, Noma K, Nakai M, et al. Dynamic Time-Alignment Kernel in Support Vector Machine // Dietterich T G, Becker S, Ghahramani Z, eds. Advances in Neural Information Processing Systems 14.Cambridge, USA: MIT Press, 2002, Ⅱ: 921-928
[11]
Fine S, Saon G, Gopinath R A. Digit Recognition in Noisy Environments via a Sequential GMM/SVM System // Proc of the International Conference on Acoustics, Speech, and Signal Processing. Orlando, USA, 2002: 2242-2246
[12]
Salomon J, King S, Osborne M. Framewise Phone Classification Using Support Vector Machines // Proc of the International Conference on Spoken Language Processing. Denver, USA, 2002: 2645-2648
