CELP coding with adaptive output-error model identification

An approach to enhancing the code excited linear prediction (CELP) model for speech coding is presented. Adaptive infinite impulse response (IIR) filtering is used to reestimate synthesis filter parameters to minimize the output-error. Thus, not only the excitation sequence, but part of the filter is also computed in an analysis by synthesis framework. The method is extended to modeling voiced speech with a stylized glottal excitation. This approach to modeling voiced speech gives the potential of manipulating pitch while retaining a high quality.<<ETX>>