PREDICTIVE TRELLIS CODED QUANTIZATION OF SPEECH.

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

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

Trellis-coded quantization is incorporated into a predictive coding structure for encoding sampled speech. Systems are developed using fixed-prediction/fixed-residual encoding, fixed-prediction/adaptive-residual encoding, and adaptive-prediction/adaptive-residual encoding. For a fully adaptive 16-kb/s speech coding system, segmental signal-to-noise ratios in the range of 17. 5 to 20. 2 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 languageEnglish (US)
Pages (from-to)247-250
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1988
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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