Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Neural Speech Processing Algorithm for Multielectrode Cochlear Implant System

신경회로망을 이용한 다중 전극 와우각 이식 시스템용 음성처리 알고리즘

  • Choi, Jin-Young (Dept. of Electronics, Kyungpook National University) ;
  • Cho, Jin-Ho (Dept. of Biomedical Eng., Kyungpook University Hospital and Dept. of Electronics, Kyungpook National University) ;
  • Lee, Kuhn-Il (Dept. of Electronics, Kyungpook National University)
  • 최진영 (경북대학교 전자공학과) ;
  • 조진호 (경북대학교병원 의공학과 및 경북대학교 전자공학과) ;
  • 이건일 (경북대학교 전자공학과)
  • Published : 1990.06.01
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Abstract

A New speech processing algorithm using neural networks is proposed. We transform input data into frequency domain and process them by neural networks of 22 output neurons which have Bark scale on the ground that the Bark scale is similiar with that of the characteristics of human cochlea. An utilized neural network is multilayer perceptron, and the characteristics of cochlea have it trained by error back propagation learning algorithm. The trained neural networks suffices functions of human cochlea including the effects of automatic gain control, compression and equalization. Simulation results show that the proposed speech processing algorithm has good performance in automatic gain control, compression and equalization.

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