An optimal strategy for parallel processing of speech signals

Studies parallel processing algorithms of linear prediction of speech parameters. The autoregressive speech vector series with stable covariance, can be gained after a classification of adjacent samples of source speech series. A strategy of vector predictive coding with highly parallel processing ability can be achieved with the application of the principle of orthogonal projection in Hilbert space. Finally it is confirmed that the algorithms are effective by computer simulation