Title :
Near-optimum linear predictive speech coding
Author_Institution :
Comsat Lab., Clarksburg, MD, USA
Abstract :
A near-optimum linear-predictive speech coding scheme is proposed. Near-optimum performance is defined in terms of minimizing a perceptually weighted mean-squared-error distortion measured directly between the original speech and the reconstructed speech. This is achieved by an efficient method which involves iteratively applying closed-loop analysis methods (or analysis-by-analysis methods) to the spectrum filter and the excitation signal. It is shown that this method can be applied to any linear predictive coder (LPC) with any perceptual distortion measure and it is especially useful for low-rate speech coders (less than 4.8 kb/s) where analysis-by-synthesis techniques become essential
Keywords :
encoding; filtering and prediction theory; speech analysis and processing; vocoders; CELP coder; analysis-by-analysis methods; closed-loop analysis methods; code excited linear prediction; excitation signal; linear-predictive speech coding; low-rate speech coders; mean-squared-error distortion; near-optimum LPC; original speech; perceptual distortion measure; reconstructed speech; spectrum filter; Autocorrelation; Decoding; Distortion measurement; Filters; Laboratories; Linear predictive coding; Signal analysis; Speech analysis; Speech coding; Weight measurement;
Conference_Titel :
Global Telecommunications Conference, 1990, and Exhibition. 'Communications: Connecting the Future', GLOBECOM '90., IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-87942-632-2
DOI :
10.1109/GLOCOM.1990.116645