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

摘要

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.