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Fast speech Recognition system using Classification of Energe Labeling

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2004, 9(4), pp.77-83
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Suyoung Han 1 Kim,Hong-Ryul 2 LEE KEE HEE 2

1안양대학교
2동서울대학교

Candidate

ABSTRACT

In this paper, the Classification of Energy Labeling has been proposed. Energy parameters of input signal which are extracted from each phoneme are labelled. And groups of labelling according to detected energies of input signals are detected. Next, DTW processes in a selected group of labeling. This leads to DTW processing faster than a previous algorithm. In this Method, because an accurate detection of parameters is necessary on the assumption in steps of a detection of speeching duration and a detection of energy parameters, variable windows which are decided by pitch period are used. A pitch period is detected firstly; next window scale is decided between 200 frames and 300 frames. The proposed method makes it possible to cancel an influence of windows and reduces the computational complexity by 25%.

Citation status

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