Robust Speech Recognition Interface to the Electronic Crewmember: Progress and Challenges

Abstract

Speech is a natural form of communication between humans. It should come as no surprise that it would also be the ideal form of communication between a pilot and an electronic crewmember. High-level commands spoken by the pilot would be interpreted and carried out by the electronic crewmember in much the same way that a pilot would talk to another crewmember. The realization of this natural interface will depend on a robust speech recognition capability to handle the degraded speech conditions typical of the military aircraft environment. This paper reviews the latest progress in robust speech recognition research and its potential application for military aircraft. Sources of degradation in the speech signal will be discussed along with the techniques being explored to reduce their effects on speech recognition. Results of recent flight testing will also be presented to provide a benchmark of the performance of commercially available speech systems in the military environment. Finally, remaining challenges to providing a fully capable, high-accuracy speech interface to the electronic crewmember will be discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 1997
Accession Number
ADA430711

Entities

People

  • David T. Williamson

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Automated Speech Recognition
  • Background Noise
  • Command And Control
  • Computers
  • Control Systems
  • Data Analysis
  • Digital Signal Processing
  • Microphones
  • Military Aircraft
  • Noise
  • Noise Reduction
  • Oxygen Masks
  • Recognition
  • Signal Processing
  • Word Recognition

Readers

  • Aviation Science / Aeronautics.
  • Computational Linguistics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • Microelectronics