標題: | Cluster-based support vector machines in text-independent speaker identification |
作者: | Sun, SY Tseng, CL Chen, YH Chuang, SC Fu, HC 資訊工程學系 Department of Computer Science |
公開日期: | 2004 |
摘要: | Based on Statistical learning theory, Support Vector Machines(SVM) is a powerful tool for various classification problems, such as pattern recognition and speaker identification etc. However, Training SVM consumes large memory and long computing time. This paper proposes a cluster-based learning methodology to reduce training time and the memory size for SVM. By using k-means based clustering technique, training data at boundary of each cluster were selected for SVM learning. We also applied this technique to text-independent speaker identification problems. Without deteriorating recognition performance, the training data and time can be reduced up to 75% and 87.5% respectively. |
URI: | http://hdl.handle.net/11536/18207 |
ISBN: | 0-7803-8359-1 |
ISSN: | 1098-7576 |
期刊: | 2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS |
起始頁: | 729 |
結束頁: | 734 |
顯示於類別: | 會議論文 |