The Correlation Between Subjective and Objective Measures of Coded Speech Quality and Intelligibility Following Noise Corruption

Abstract

A scoring metric of speech intelligibility based on linear predictive coding (LPC) was developed and evaluated. The data base used for evaluating the metric consisted of a list of 50 words from the Modified Rhyme Test. The list was transmitted over a LPC-10 Vocoder with no background noise. The list was scored subjectively for intelligibility by a trained listener panel. The subjective scores were used to judge the effectiveness of the objective metric. The LPC scoring metric was calculated for the list of words and compared to the subjective scoring. The intelligibility score for the objective scoring metric was 82.99% with a standard deviation of 14.41%. The score for the subjective listener testing was 84.91% with a standard deviation of 7.47%. This shows a possible correlation between the objective LPC scoring metric and standard subjective listener scoring methods.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1981
Accession Number
ADA115515

Entities

People

  • Jeffrey A. Kayser

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Background Noise
  • Coast Guard
  • Communication Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Databases
  • Digital Data
  • Electrical Engineering
  • Engineering
  • Human Factors Engineering
  • Intelligibility
  • Signal Processing
  • Speech Quality
  • Standards

Readers

  • Instructional Design and Training Evaluation.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.