Decision Tree for Likely phoneme model schema support
Sang Yeob Oh · Journal of Digital Convergence · 2013
Abstract In Speech recognition system, there is a problem with phoneme in the model training and it cause a stored mode regeneration process which come into being appear time and more costs. In this paper, we propose the methode of likely phoneme model schema using decision tree clustering. Proposed system has a robust and correct sound model which system apply the decision tree clustering methode form generate model, therefore this system reduce the regeneration process and provide a retrieve the phoneme unit in probability model. Also, this proposed system provide a additional likely phoneme model and configured robust correct sound model. System performance as a result of represent vocabulary dependence recognition rate of 98.3%, vocabulary independence recognition rate of 98.4%. Key Words : Vocabulary Recognition, Decision Tree, Vocabulary Independence, Clustering * 이 논문은 2013년도 가천대학교 교내연구비 지원에 의한 결과임.(GCU-2013-R217)Received 1 August 2013, Revised 26 August 2013Accepted 20 October 2013Corresponding Author: SangYeob Oh(The University of Gachon) Email: [email protected]Ⓒ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.otg/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is ISSN: 1738-1916 properly cited.