Evaluating Syntactic Constraints to Speech Recognition in a Fighter Aircraft Environment.

Abstract

A flexible software system has been developed to test the effects of adding syntactic knowledge to an isolated speech phoneme-based word recognizer. Words from seventy-word fighter plane vocabulary, spoken by five pilots at four different levels of background noise, are automatically concatenated into commands randomly chosen from a set of over seven trillion. These commands are then recognized using an existing word recognizer together with grammars of differing specificity. Results are compiled automatically. The system is flexible in that system components such as the command generator, parser, grammar, or word recognizer can be interchanged with very little software modification. Preliminary testing demonstrated that, although the modified word recognizer exhibited very poor performance, the use of more specific grammars enhanced recognition accuracy, sometimes drastically. Additional keywords: theses; F-16 aircraft; cockpits. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA152117

Entities

People

  • D. B. Stockton

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Automated Speech Recognition
  • Background Noise
  • Environment
  • Fighter Aircraft
  • Generators
  • Grammars
  • Linguistics
  • Military Aircraft
  • Noise
  • Recognition
  • Vehicles

Readers

  • Software Engineering.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation