ARMA model based speech coding at 8kb/s

Masami Akamine, Kimio Miseki

研究成果: Conference article査読


A novel speech coding approach is proposed that gives high-quality performance at 8 kb/s. The coder is based on an autoregressive moving-average (ARMA) model as the prediction filter and a new excitation model. A simple ARMA analysis method is proposed that features a technique for eliminating the fine harmonic structure within the speech spectrum. This overcomes the problem of MA parameter misestimation. The excitation signal is modeled as a pulse train whose density is varied depending on the residual signal's power. The proposed coder produced high-quality speech comparable with 6-b log PCM at 8 kb/s according to computer simulation.

ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
出版ステータスPublished - 1989 12 1
イベント1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland
継続期間: 1989 5 231989 5 26

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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