Title :
ARMA model based speech coding at 8 kb/s
Author :
Akamine, Masami ; Miseki, Kimio
Author_Institution :
Toshiba Res. & Dev. Center, Kawasaki, Japan
Abstract :
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. 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 bit log PCM at 8 kb/s according to computer simulation
Keywords :
encoding; filtering and prediction theory; speech analysis and processing; 8 kbit/s; ARMA analysis method; autoregressive moving-average; excitation model; prediction filter; speech coding; Autocorrelation; Bit rate; Linear predictive coding; Parameter estimation; Poles and zeros; Power harmonic filters; Predictive models; Signal analysis; Speech analysis; Speech coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266385