Predictive trellis coded quantization of speech

Trellis-coded quantization (TCQ) is incorporated into a predictive coding structure for encoding sampled speech. The modest complexity of the resulting structure is seen to be a direct consequence of the TCQ formulation. Simulation results are presented for systems using fixed-prediction/fixed-residual encoding, fixed-prediction/adaptive-residual encoding, and adaptive-prediction/adaptive-residual encoding. The performance of predictive TCQ (PTCQ) is compared to that of other waveform coders, and the effects of channel errors on PTCQ performance are discussed. For a fully adaptive 16-kb/s speech coding system, segmental signal-to-noise ratios in the range of 19.1-21.9 dB are obtained for a variety of speakers and test sentences. Reconstructed speech obtained from this system is of excellent communication quality