DOI QR코드

DOI QR Code

Error Correction Methode Improve System using Out-of Vocabulary Rejection

미등록어 거절을 이용한 오류 보정 방법 개선 시스템

  • Received : 2012.08.03
  • Accepted : 2012.09.05
  • Published : 2012.09.30

Abstract

In the generated model for the recognition vocabulary, tri-phones which is not make preparations are produced. Therefore this model does not generate an initial estimate of parameter words, and the system can not configure the model appear as disadvantages. As a result, the sophistication of the Gaussian model is fall will degrade recognition. In this system, we propose the error correction system using out-of vocabulary rejection algorithm. When the systems are creating a vocabulary recognition model, recognition rates are improved to refuse the vocabulary which is not registered. In addition, this system is seized the lexical analysis and meaning using probability distributions, and this system deactivates the string before phoneme change was applied. System analysis determine the rate of error correction using phoneme similarity rate and reliability, system performance comparison as a result of error correction rate improve represent 2.8% by method using error patterns, fault patterns, meaning patterns.

Keywords

Out-of Vocabulary Rejection;Error Correction;Model Optimization;Vocabulary Recognition;Syllable Restoration

Acknowledgement

Supported by : 가천대학교