Journal of the Korean Society for Railway (한국철도학회논문집)

The Korean Society for Railway (한국철도학회)
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A Study on Speech Recognition based on Phoneme for Korean Subway Station Names

한국의 지하철역명을 위한 음소 기반의 음성인식에 관한 연구

  • Received : 2011.01.31
  • Accepted : 2011.06.11
  • Published : 2011.06.26
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Abstract

This paper presented the method about the Implementation of Speech Recognition based on phoneme considering the phonological characteristic for Korean Subway Station Names. The Pronunciation dictionary considering PLU set and phonological variations with four Case in order to select the optimum PLU used for Speech Recognition based on phoneme for Korean Subway Station Names was comprised and the recognition rate was estimated. In the case of the applied PLU, we could know the optimum recognition rate(97.74%) be shown in the triphone model in case of considering the recognition unit division of the initial consonant and final consonant and phonological variations.

본 논문에서는 한국의 지하철역명을 위하여 음운론적 특성을 반영한 음소 기반의 음성인식 구현에 관한 방법을 제시하였다. 한국의 지하철역명의 음소 기반의 음성인식을 위하여 사용되는 최적의 유사음소 단위(PLU: Phoneme-Likely Unit)를 선정하기 위하여 네 가지의 Case 별로 PLU set과 음운 현상을 고려한 발음사전을 구성하여 인식률을 평가하였다. 적용된 유사음소 단위의 경우 초성과 종성 자음의 인식 단위 구분 및 음운 현상을 반영한 경우 트라이폰 모델에서 최적의 인식률(97.74%)을 보임을 알 수 있었다.

Keywords

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