Voice Interactive Systems in Severe Noise Conditions,

Abstract

In a comparison of word recognition performance between human listeners and automatic speech recognition systems (ASR), the human listeners performs much better, especially in severe noise conditions. An application engineer can try to optimize the performance of an ASR system by selecting the optimal noise cancelling microphone and vocabulary for voice input. Some results from a study on the effect of signal handling and vocabulary configuration on the performance of voice input and voice output systems will be discussed.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1987
Accession Number
ADP005603

Entities

People

  • G. Langhout
  • H. J. Steeneken

Tags

Communities of Interest

  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Airborne
  • Automated Speech Recognition
  • Automatic
  • Engineers
  • Microphones
  • Recognition
  • Vocabulary
  • Weapon Systems
  • Weapons
  • Word Recognition

Readers

  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation