Korean Digit Recognition Using Cepstrum coefficients and Frequency Sensitive Competitive Learning

Cepstrum 계수와 Frequency Sensitive Competitive Learning 신경회로망을 이용한 한국어 인식.

  • Lee, Su-Hyuk (Dept. of Electrical & Control Engineering, Hong-Ik University) ;
  • Cho, Seong-Won (Dept. of Electrical & Control Engineering, Hong-Ik University) ;
  • Choi, Gyung-Sam (Dept. of Electrical & Control Engineering, Hong-Ik University)
  • 이수혁 (홍익대학교 전기.제어공학과) ;
  • 조성원 (홍익대학교 전기.제어공학과) ;
  • 최경삼 (홍익대학교 전기.제어공학과)
  • Published : 1994.11.18

Abstract

In this paper, we present a speaker-dependent Korean Isolated digit recognition system. At the preprocessing step, LPC cepstral coefficients are extracted from speech signal, and are used as the input of a Frequency Sensitive Competitive Learning(FSCL) neural network. We carried out the postprocessing based on the winning-neuron histogram. Experimetal results Indicate the possibility of commercial auto-dial telephones.

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