Title :
Ensuring predictor tracking in ADPCM speech coders under noisy transmission conditions
Author :
Yatrou, Paul ; Mermelstein, Paul
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
fDate :
2/1/1988 12:00:00 AM
Abstract :
The problem of predictor mistracking for narrowband signals in backward adaptive ADPCM (adaptive digital pulse code modulation) speech coders is shown to arise as a result of feedback from the signal reconstruction filter to the predictor adaptation process. A class of residual-signal-driven lattice predictors (PR) is defined that guarantees tracking for all signals without regard to the order of prediction. The LR predictor enhances speech and DTMF (dual-tone multifrequency) signal transmission performance in the presence of transmission errors. Under error-free transmission conditions, a segmental SNR (signal-to-noise ratio) drop for speech of nearly 2 dB may be encountered for the LR predictor relative to the classical signal-drive lattice predictor. In most practical telecommunication applications, however, this degradation is outweighed by the improved robustness of the predictor
Keywords :
encoding; errors; filtering and prediction theory; noise; pulse-code modulation; speech analysis and processing; ADPCM speech coders; adaptive digital pulse code modulation; dual-tone multifrequency; noise; practical telecommunication applications; predictor adaptation process; predictor mistracking; residual-signal-driven lattice predictors; signal reconstruction filter; transmission errors; Digital modulation; Feedback; Lattices; Modulation coding; Narrowband; Pulse modulation; Signal processing; Signal reconstruction; Speech coding; Speech processing;
Journal_Title :
Selected Areas in Communications, IEEE Journal on