Title :
CELP coding with adaptive output-error model identification
Author :
Niranjan, Mahesan
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115579
