Speech Quality Measurement

Abstract

Speech quality measurement--in terms of user acceptability--is considered from 3 points of view: subjective testing, objective testing, and communicability testing. It is assumed that good intelligibility is always present. Subjective testing is considered from the perspective of isopreference, relative preference, and absolute-preference, with isometric and parametric test methodologies, with the results of PARM and QUART as a basis. It is felt that the best approach for future subjective testing will be a parametric approach using representative male and female talkers to cover the expected range of pitch. Objective testing is considered as a possible alternative to subjective testing. A two part experimental study of the relationship between a number of objective measures and the subjective acceptability measures available from the PARM study is described. In the communicability test, the user is expected to perform on the data some cognitive task which is measurable. The rationale is that the user will be better able to perform if the quality is high, than if his cognitive resource, assumed fixed, is saturated due to poorer quality transmission.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1978
Accession Number
ADA056272

Entities

People

  • A. M. Bush
  • R. M. Mersereau
  • R. W. Schafer
  • T. P. Barnwell Iii.

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Communication Systems
  • Computational Science
  • Data Processing
  • Data Science
  • Databases
  • Electrical Engineering
  • Frequency Shift
  • Information Processing
  • Information Science
  • Language
  • Random Variables
  • Recording Systems
  • Signal Processing
  • Speech Transmission
  • Statistical Analysis
  • Two Dimensional

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.