UNIVERSAL TREE ENCODING FOR SPEECH.

Yasuo Matsuyama; Robert M. Gray

UNIVERSAL TREE ENCODING FOR SPEECH.

Yasuo Matsuyama^*, Robert M. Gray

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-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 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

Cite this

@article{3b3a93130a014829a05b6ab880243b1c,

title = "UNIVERSAL TREE ENCODING FOR SPEECH.",

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.",

author = "Yasuo Matsuyama and Gray, {Robert M.}",

year = "1981",

month = jan,

language = "English",

volume = "IT-27",

pages = "31--40",

journal = "IRE Professional Group on Information Theory",

issn = "0018-9448",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

TY - JOUR

T1 - UNIVERSAL TREE ENCODING FOR SPEECH.

AU - Matsuyama, Yasuo

AU - Gray, Robert M.

PY - 1981/1

Y1 - 1981/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0019477553&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0019477553&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0019477553

VL - IT-27

SP - 31

EP - 40

JO - IRE Professional Group on Information Theory

JF - IRE Professional Group on Information Theory

SN - 0018-9448

IS - 1

ER -

UNIVERSAL TREE ENCODING FOR SPEECH.

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this