Reliability measure improvement of Phoneme character extract In Out-of-Vocabulary Rejection Algorithm

미등록어 거절 알고리즘에서 음소 특성 추출의 신뢰도 측정 개선

  • 오상엽 (가천대학교 IT 대학 인터랙티브미디어)
  • Received : 2012.06.20
  • Accepted : 2012.07.10
  • Published : 2012.07.31


In the communication mobile terminal, Vocabulary recognition system has low recognition rates, because this problems are due to phoneme feature extract from inaccurate vocabulary. Therefore they are not recognize the phoneme and similar phoneme misunderstanding error. To solve this problem, this paper propose the system model, which based on the two step process. First, input phoneme is represent by number which measure the distance of phonemes through phoneme likelihood process. next step is recognize the result through the reliability measure. By this process, we minimize the phoneme misunderstanding error caused by inaccurate vocabulary and perform error correction rate for error provrd vocabulary using phoneme likelihood and reliability. System performance comparison as a result of recognition improve represent 2.7% by method using error pattern learning and semantic pattern.


Out-of-Vocabulary rejection;Reliability measure;Phoneme Likelihood


Supported by : 가천대학교