ARMA model based speech coding at 8kb/s

Masami Akamine, Kimio Miseki

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)148-151
Number of pages4
JournalProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Publication statusPublished - 1989
Event1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland
Duration: 1989 May 231989 May 26


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