Implementation of the Automatic Speech Editing System Using Keyword Spotting Technique

핵심어 인식을 이용한 음성 자동 편집 시스템 구현

  • 정익주 (강원대학교 공과대학 전자공학과)
  • Published : 1998.04.01

Abstract

We have developed a keyword spotting system for automatic speech editing. This system recognizes the only keyword 'MBC news' and then sends the time information to the host system. We adopted a vocabulary dependent model based on continuous hidden Markov model, and the Viterbi search was used for recognizing the keyword. In recognizing the keyword, the system uses a parallel network where HMM models are connected independently and back-tracking information for reducing false alarms and missing. We especially focused on implementing a stable and practical real-time system.