UNIVERSAL TREE ENCODING FOR SPEECH.

Yasuo Matsuyama, Robert M. Gray

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

A low-rate (about one bit per sample) waveform coder for speech compression is designed using techniques from universal source coding, fake process tree encoding, and linear predictive coding (LPC). The system does not require on-line adaptation or LPC analysis, yet it yields a fidelity that compares well with the best existing adaptive-waveform coder of the same rate.

Original languageEnglish
Pages (from-to)31-40
Number of pages10
JournalIEEE Transactions on Information Theory
VolumeIT-27
Issue number1
Publication statusPublished - 1981 Jan
Externally publishedYes

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

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