Proceedings of the KSPS conference (대한음성학회:학술대회논문집)

The Korean Society Of Phonetic Sciences And Speech Technology (대한음성학회)
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Development of FSN-based Large Vocabulary Continuous Speech Recognition System

FSN 기반의 대어휘 연속음성인식 시스템 개발

  • 박전규 (한국전자통신연구원 음성/언어정보연구센터) ;
  • 이윤근 (한국전자통신연구원 음성/언어정보연구센터)
  • Published : 2007.05.18
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Abstract

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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