Spectral Distortion Measures for Speech Compression.

Abstract

In recent years several measures of distortion between speech waveforms have been proposed as substitutes for the traditional but subjectively inadequate mean-squared error. All of these measures involve some form of distortion measure between the second order properties of the speech processes producing the waveforms instead of an average of the waveform error power. In particular, they depend on the power spectral densities or linear models of the speech process. In this report the properties and interrelations of several such measures are developed. In particular, the relative strengths or equivalences of the various implications and applications of these measures to prediction, detection, and coding are summarized. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1978
Accession Number
ADA056853

Entities

People

  • A. Buzo
  • R. M. Gray
  • Y. Matsuyama

Organizations

  • Stanford University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Coding
  • Compressors
  • Data Compression
  • Distortion
  • Electronics
  • Electronics Laboratories
  • Engineering
  • Gaussian Processes
  • Information Systems
  • Information Theory
  • Military Research
  • Probabilistic Models
  • Statistics
  • Stochastic Processes
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Speech Processing/Speech Recognition.
  • Theoretical Analysis.