Support Vector Machines with the Priorities Method for Speaker Independent Phoneme Recognition

被引：0
|
作者：
Cutajar, M. [1 ]
Gatt, E. [1 ]
Grech, I [1 ]
Casha, O. [1 ]
Micallef, J. [1 ]
机构：
[1] Univ Malta, Fac ICT, Dept Microelect & Nanoelect, Msida 2080, Malta
来源：
2011 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT) | 2011年
关键词：
phoneme recognition; speaker-independent; multiclass support vector machines; priorities method;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A speaker independent phoneme recognition system, based on Support Vector Machines (SVMs) method was improved by adding a priority scheme to forecast the three most likely phonemes. The system helps improve the obtained recognitions rate. For the phoneme recognition system, four multiclass SVMs methods, the All-at-once, One-against-all, One-against-one, and the Directed Acyclic Graph SVM (DAGSVM), were designed. The One-against-one method performed best, achieving an accuracy of 53.70%. This accuracy was further increased to 75.41%, when the second and third priorities were considered in the priorities method. All tests were carried out on the TIMIT database.
引用
收藏
页码：409 / 414
页数：6
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