Improved Objective Measurements for Speech Quality Testing

Abstract

This report presents the results of a large study of new objective measures for speech quality. The study defined a figure-of-merit for a particular objective quality measure using correlation analysis between a data base of subjective speech quality measures and a data base of objective speech quality measures. Both data bases were derived from approximately twenty hours of coded and distorted speech. The subjective test used was the Diagnostic Acceptability Measure (DAM) developed at the Dynastat Corp. The study concentrated on three classes of objective measures: those based on a model of the ear, those based on parametric subjective quality estimate, and those based on preclassified distortion sets. All three classes of objective measures performed well, but the best results were obtained for the class of parametric measures. Keywords include: Objective testing, Subjective testing, Voice communication, Speech communications, Coding, and Speech coding.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA151275

Entities

People

  • Eric P. Farges
  • Mark A. Clements
  • Schulyer R. Quackenbush
  • Thomas P. Barnwell Iii

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computer Programming
  • Correlation Analysis
  • Data Science
  • Databases
  • Electrical Engineering
  • Frequency Bands
  • Information Processing
  • Information Science
  • Mathematical Filters
  • Regression Analysis
  • Reliability
  • Signal Processing
  • Speech Compression
  • Statistical Algorithms
  • Stresses
  • Waveforms

Readers

  • Computational Modeling and Simulation
  • Software Engineering
  • Speech Processing/Speech Recognition.