대한음성학회:학술대회논문집 (Proceedings of the KSPS conference)

대한음성학회 (The Korean Society Of Phonetic Sciences And Speech Technology)
권호 표지

FSN 기반의 대어휘 연속음성인식 시스템 개발

Development of FSN-based Large Vocabulary Continuous Speech Recognition System

  • 박전규 (한국전자통신연구원 음성/언어정보연구센터) ;
  • 이윤근 (한국전자통신연구원 음성/언어정보연구센터)
  • 발행 : 2007.05.18
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초록

This paper presents a FSN-based LVCSR system and it's application to the speech TV program guide. Unlike the most popular statistical language model-based system, we used FSN grammar based on the graph theory-based FSN optimization algorithm and knowledge-based advanced word boundary modeling. For the memory and latency efficiency, we implemented the dynamic pruning scheduling based on the histogram of active words and their likelihood distribution. We achieved a 10.7% word accuracy improvement with 57.3% speedup.

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