Efficient Binary Tree Multiclass SVM Using Genetic Algorithms for Vowels Recognition

Efficient Binary Tree Multiclass SVM Using Genetic Algorithms for Vowels Recognition

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作者 Boutkhil Sidaoui Kaddour Sadouni

机构地区 Mlathematics and Computer Science Department Computer Science Department

出处《通讯和计算机（中英文版）》 2012年第10期1116-1123,共8页 Journal of Communication and Computer

关键词元音识别遗传算法 SVM 二叉树支持向量机多类分类测试阶段训练时间 Machine learning, SVM, binary tree, genetic algorithms.

参考文献34

1B. Guyon, V. Vapnik, A training algorithm for optimal margin classifiers, in: Fifth Annual Workshop on Computational Learning Theory, ACM Press, Pittsburgh, 1992.
2V. Vapnik, Statistical Learning Theory, Wiley, New York, 1998.
3I. Boser, V. Vapnik, Automatic capacity tuning of very - large vc-dimension classifiers, Advances in Neural Information Processing Systems 5 (1993).
4V. Vapnik, Theory of Pattern Recognition, German Translation: Wapnik, Tscherwonenkis, Theorie der Zeichenerkennung, Akademie-Verlag, Berlin, 1979.
5V. Vapnik, Estimation of Dependences Based on Empirical Data, Nauka, Moscow, English Translation, Springer Verlag, New York, 1979.
6E. Osuna, Training support vector machines: An application to face detection, In Computer Vision and Pattern Recognition (1997) 130-136.
7T. Joachims, Making Large-Scale Support Vector Machine Learning Practical, In Advances in Kernel Methods, MIT Press, Cambridge, 1998.
8D. Hong, Speech recognition technology: Moving beyond customer service, Computer Business Online (2007).
9K.F. Lee, H.W. Hon, Speaker-independent phone recognition using hidden Markov models, IEEE Trans. Acoust, Speech Signal Processing (1989).
10F. Sha, L.K. Saul, Large margin hidden markov models for automatic speech recognition, NIPS, 2006.

1任百强,陈学泮.语音识别技术在计算机控制系统中的应用研究[J].电脑应用技术,1993(31):38-43.
2WEI Yu-xin WU Mu-qing.KFDA and clustering based multiclass SVM for intrusion detection[J].The Journal of China Universities of Posts and Telecommunications,2008,15(1):123-128. 被引量：4
3未来的通信技术[J].今日电子,1994(1):62-64.
4陈永彬,关存太.人工智能在语音处理中的应用[J].今日电子,1994(2):29-31.
5王仁华,倪晋富.汉语语音识别系统评估[J].自动化学报,1994,20(4):509-511. 被引量：1
6李立忠.启用“动态特征”的相近汉语语音的高准确率识别[J].电信技术研究,1992(7):20-24.
7余水宝,江伟丰,邵居华,任德官.一种提高基频实时提取精度的新方法[J].浙江师大学报（自然科学版）,1993,16(1):85-89. 被引量：1
8张保轩,关卫华.语音识别滤波器组参数优化的实验研究[J].山东工业大学学报,1993,23(2):97-100.
9韩兵.工业环境下语音识别的方法初探[J].微型机与应用,1994,13(11):5-6.
10伍湘杉,李进文.语音识别在电话网络中的应用[J].广东电子,1992(3):87-97.

通讯和计算机（中英文版）

2012年第10期

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