UNIVERSAL TREE ENCODING FOR SPEECH.

Yasuo Matsuyama; Robert M. Gray

UNIVERSAL TREE ENCODING FOR SPEECH.

Yasuo Matsuyama, Robert M. Gray

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

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 language	English
Pages (from-to)	31-40
Number of pages	10
Journal	IEEE Transactions on Information Theory
Volume	IT-27
Issue number	1
Publication status	Published - 1981 Jan
Externally published	Yes

ASJC Scopus subject areas

Information Systems
Electrical and Electronic Engineering

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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.",

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UNIVERSAL TREE ENCODING FOR SPEECH.

Abstract

ASJC Scopus subject areas

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