Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 46-55 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Acoustics, Speech, and Signal Processing |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1990 |
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ASJC Scopus subject areas
- Signal Processing
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Predictive trellis-coded quantization of speech. / Marcellin, Michael W; Fischer, Thomas R.; Gibson, Jerry D.
In: IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 38, No. 1, 01.1990, p. 46-55.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Predictive trellis-coded quantization of speech
AU - Marcellin, Michael W
AU - Fischer, Thomas R.
AU - Gibson, Jerry D.
PY - 1990/1
Y1 - 1990/1
N2 - 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.
AB - 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.
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U2 - 10.1109/29.45617
DO - 10.1109/29.45617
M3 - Article
VL - 38
SP - 46
EP - 55
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
SN - 1053-587X
IS - 1
ER -