Performance of Adaptive Prediction Algorithms for Trellis Coded Quantization of Speech

Parthasarathy Sriram, Michael W. Marcellin

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1512-1517
Number of pages6
JournalIEEE Transactions on Communications
Volume42
Issue number234
DOIs
StatePublished - Jan 1 1994

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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