Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines

Authors:
Chellu Chandra Sekhar;Kazuya Takeda;Fumitada Itakura
Affiliations:
-;-;-
Venue:
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Year:
2001

Citing 5
Cited 0

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Abstract

5In conventional approaches for multi-class pattern recognition using Support Vector Machines (SVMs), each class is discriminated against all the other classes to build an SVM for that class. We propose a close-class-set discrimination method suitable for large class set pattern recognition problems. The proposed method is demonstrated for recognition of isolated utterances belonging to 80 Stop Consonant-Vowel (SCV) classes. In this method, an SVM is built for each SCV class by discriminating that class against only 10 classes close to it phonetically.