Accession Number : ADA135833

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

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Beachy,K A

PDF Url : ADA135833

Report Date : 20 Dec 1982

Pagination or Media Count : 145

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)

Descriptors :   *Speech recognition, *Algorithms, *Computer applications, *Artificial intelligence, Human factors engineering, Cockpits, Stresses, Acceleration, Noise, Speech analysis, Phonemes, Extraction, Prototypes, Matching, Speech transmission, Input, Set theory, Test methods, Scoring, Pilots, Workload, Templates, Computational linguistics, Air Force research, Theses

Subject Categories : Aircraft
      Human Factors Engineering & Man Machine System

Distribution Statement : APPROVED FOR PUBLIC RELEASE