Speech Signal Vector Quantization Using Neural Network

신경 회로망을 이용한 음성 신호의 벡터 양자화

  • 백승복 (금오공과 대학교 전자공학부 대학원) ;
  • 김상희 (금오공과 대학교 전자공학부)
  • Published : 1999.11.01

Abstract

This paper describes a vector quantization for speech signal coding using neural networks. We processed speech signal using LPC method that extracts speech signal feature, and speech signal feature is quantized using competitive neural network kohonen self-organization feature map.

Keywords