Predictive Trellis Coded Quantization of Speech

Michael W. Marcellin; Thomas R. Fischer; Jerry D. Gibson

doi:10.1109/29.45617

Predictive Trellis Coded Quantization of Speech

Michael W. Marcellin, Thomas R. Fischer, Jerry D. Gibson

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

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 trellis coded quantization (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 kbit/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 can be described as being of excellent communications 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	https://doi.org/10.1109/29.45617
State	Published - Jan 1990

ASJC Scopus subject areas

Signal Processing

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title = "Predictive Trellis Coded Quantization of Speech",

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 trellis coded quantization (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 kbit/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 can be described as being of excellent communications quality.",

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note = "Funding Information: Manuscript received January 27, 1988; revised February 13. 1989. Part (11 this paper wa5 presented at the 1988 International Conference on Acoustics, Speech. and Signal Processing. This work was supported in part by thc National Scicnce Foundation under Grant NCR-882 1764. M. W. Marcellin is with the Department of Electrical and Computer Engineering, University of Arizona. Tucson, AZ 85721. T K. Fischer was with the Department of Electrical Ensineering. Texah A&M University. He is now with the Department of Electrical and Computer Engineering, Washington State University. Pullman, WA 99 164. J. D. Gibwn is with the Department of Electrical Engineering, Texas .4&M University. College Station. TX 77843.",

year = "1990",

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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 trellis coded quantization (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 kbit/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 can be described as being of excellent communications 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 trellis coded quantization (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 kbit/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 can be described as being of excellent communications quality.

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Predictive Trellis Coded Quantization of Speech

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