Interspeech'2005 - Eurospeech
In this paper, we propose to apply Hadamard Error-Correcting Output Code (Hadamard ECOC) to extend binary classifier for multi-class classification problems. Hadamard ECOC is easy to construct and is suitable for any number of classes. We combine it with binary support vector machine (SVM) to solve the multi-class problem of speaker identification, which takes advantage of error correcting ability of Hadamard ECOC and powerful classification ability of SVM. Compared to the traditional "1-against-rest" method, the experiment result shows that Hadamard ECOC approach has much better and more stable performance for the multi-class problem and is robust on different rules mapping rules between ECOCs and classes.
Bibliographic reference. Yin, An-rong / Xie, Xiang / Kuang, Jingming (2005): "Using Hadamard ECOC in multi-class problems based on SVM", In INTERSPEECH-2005, 3125-3128.