TY - JOUR
T1 - Performance of Adaptive Prediction Algorithms for Trellis Coded Quantization of Speech
AU - Sriram, Parthasarathy
AU - Marcellin, Michael W.
N1 - Funding Information:
Paper approved by Vladimir Cuperman, the Editor for Speech Processing of the IEEE Communications Society Manuscript received November 13, 1990, revised November 15, 1991, July 17, 1992 This work was supported in part by the National Science Foundation under Grant No NCR-8821764 Portions of this material were presented at the Twenty-Fourth Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 1990 P Sriram was with the Department of Electrical and Computer Engineering, the University of Arizona He is now with Digital Communications Division, Rockwell International Corporation, Newport Beach, CA 92658 M W Marcellin is with the Department of Electrical and Computer Engineering, the University of Arizona, Tucson, AZ 85721
PY - 1994
Y1 - 1994
N2 - This paper irrvestigates the performance of different adaptive prediction. algorithms for use in a low delay, high-quality speech coder at -16 kbit/s. The system to be studied is based on trellis coded quantization (TCQ). In the work presented, we demonstrate that when trellises based on feedback-free convolutional encoding circuits are employed, error propagation in TCQ systems is not a serious problem. Performance comparisons are made using a fixed predictor and four different adaptive predictors. Informal listening, tests reveal that the encoded speech, is of good communications quality at an error rate of 10–3. In an ideal channel, a system employing an all-pobe. least squares lattice predictor with pitch prediction produces reconstructed speech that is nearly indistinguishable from the original.
AB - This paper irrvestigates the performance of different adaptive prediction. algorithms for use in a low delay, high-quality speech coder at -16 kbit/s. The system to be studied is based on trellis coded quantization (TCQ). In the work presented, we demonstrate that when trellises based on feedback-free convolutional encoding circuits are employed, error propagation in TCQ systems is not a serious problem. Performance comparisons are made using a fixed predictor and four different adaptive predictors. Informal listening, tests reveal that the encoded speech, is of good communications quality at an error rate of 10–3. In an ideal channel, a system employing an all-pobe. least squares lattice predictor with pitch prediction produces reconstructed speech that is nearly indistinguishable from the original.
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U2 - 10.1109/TCOMM.1994.582832
DO - 10.1109/TCOMM.1994.582832
M3 - Article
AN - SCOPUS:0028370211
SN - 0090-6778
VL - 42
SP - 1512
EP - 1517
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 234
ER -