Feature Selection Using Adaboost for Phoneme Recognition
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-06883-1_4
Reference19 articles.
1. Amami R, Ben Ayed D, Ellouze N (2012) Phoneme recognition using support vector machine and different features representations. Adv Intell Soft Comput 151:587–595
2. Amami R, Ben Ayed D, Ellouze N (2013a) Practical selection of SVM supervised parameters with different feature representations for vowel recognition. Int J Digit Content Technol Appl 7(9):418–424
3. Amami R, Ben Ayed D, Ellouze N (2013b) Adaboost with SVM using GMM supervector for imbalanced phoneme data. In: Proceedings of 6th International IEEE conference on human system interaction, pp 328–333
4. Cortes C, Vapnik V (1995) Support-vector networks. Mach Learn 20:273–297
5. Cover T (1974) The best two independent measurements are not the two best. IEEE Trans Syst Man Cybern 4:116–117
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