Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Isolated Word Recognition with the E-MIND II Neurocomputer

E-MIND II를 이용한 고립 단어 인식 시스템의 설계

  • Kim, Joon-Woo (Dept. of Elec. Eng., Pohang Univ. of Science and Technology) ;
  • Jeong, Hong (Dept. of Elec. Eng., Pohang Univ. of Science and Technology) ;
  • Kim, Myeong-Won (School of Computing, Soongsil Univ.)
  • 김준우 (포항공과대학교 전자전기공학과) ;
  • 정홍 (포항공과대학교 전자전기공학과) ;
  • 김명원 (숭실대학교 인공지능공학과)
  • Published : 1995.11.01
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Abstract

This paper introduces an isolated word recognition system realized on a neurocomputer called E-MIND II, which is a 2-D torus wavefront array processor consisting of 256 DNP IIs. The DNP II is an all digital VLSI unit processor for the EMIND II featuring the emulation capability of more than thousands of neurons, the 40 MHz clock speed, and the on-chip learning. Built by these PEs in 2-D toroidal mesh architecture, the E- MIND II can be accelerated over 2 Gcps computation speed. In this light, the advantages of the E-MIND II in its capability of computing speed, scalability, computer interface, and learning are especially suitable for real time application such as speech recognition. We show how to map a TDNN structure on this array and how to code the learning and recognition algorithms for a user independent isolated word recognition. Through hardware simulation, we show that recognition rate of this system is about 97% for 30 command words for a robot control.

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