Computer Recognition of Phonemes in the Presence of Cockpit Induced Stress and Noise.

Abstract

Speech recognition algorithms were analyzed using normal and G-stressed speech as an input. Speech samples were recorded in centrifuge tests at the Air Force Medical Research Lab, Wright-Patterson AFB, Ohio. All speech was recorded using the MBU-12/P face mask. The algorithms studied are phoneme-based feature extractors which feed a recognition algorithm based on fuzzy set theory. Three feature extraction algorithm options were analyzed. One option used a phoneme length of 40 ms and the other options used a length of 8 ms. The recognition results for all three options using normal speech are above 90%, but the 40ms phoneme length give higher raw scores. For G-stressed speech the 40 ms phoneme length scored greater than 90% while the 8ms phoneme length options scored less than 60%. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 1982
Accession Number
ADA135833

Entities

People

  • K. A. Beachy

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Automated Speech Recognition
  • Centrifuges
  • Computer Programs
  • Computers
  • Data Acquisition
  • Digital Signal Processing
  • Electrical Engineering
  • Feature Extraction
  • Frequency
  • Frequency Shift
  • Fuzzy Sets
  • Recognition
  • Set Theory
  • Signal Processing
  • Threats

Readers

  • Life Cycle Cost Analysis
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML