CELP coding with adaptive output-error model identification

Author

Niranjan, Mahesan

Author_Institution

Dept. of Eng., Cambridge Univ., UK

fYear

1990

fDate

3-6 Apr 1990

Firstpage

225

Abstract

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

Keywords

adaptive filters; coding errors; filtering and prediction theory; parameter estimation; speech analysis and processing; speech synthesis; vocoders; CELP coding; adaptive IIR filtering; adaptive output-error model identification; analysis by synthesis; code excited linear prediction; excitation sequence; infinite impulse response; model; pitch manipulation; speech coding; stylized glottal excitation; synthesis filter parameters; voiced speech; Adaptive filters; Delay effects; Filtering; IIR filters; Nonlinear filters; Parameter estimation; Predictive models; Signal synthesis; Speech analysis; Speech coding; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115579

Filename

115579