Decision Tree for Likely phoneme model schema support

유사 음소 모델 스키마 지원을 위한 결정 트리

  • Oh, Sang-Yeob (Dept. of Computer Media Convergence, College of IT, Gachon University)
  • 오상엽 (가천대학교 글로벌캠퍼스 IT대학 컴퓨터미디어융합학과)
  • Received : 2013.08.01
  • Accepted : 2013.10.20
  • Published : 2013.10.28


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%.


Vocabulary Recognition;Decision Tree;Vocabulary Independence;Clustering


Supported by : 가천대학교