Evaluation of ASR Sensors

Abstract

This paper addresses the testing and analyzing of various microphones versus the Physiological Microphone (provided by Pete Fisher of the Army Research Laboratory) in different working conditions 1,2. We explore different techniques and environments in which a user interfaces a selected ASR program. The testing of multiple microphones provided us with varied results based on environment. The software of choice for our research was Dragon Naturally Speaking 5.0.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2002
Accession Number
ADP014017

Entities

People

  • Jason Heinrich
  • Jung H. Kim
  • Justin Taylor
  • Sung H. Yoon

Organizations

  • North Carolina Agricultural and Technical State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Automated Speech Recognition
  • Background Noise
  • Basic Training
  • Computer Science
  • Computers
  • Detectors
  • Environment
  • Errors
  • Linear Arrays
  • Microphones
  • Noise
  • North Carolina
  • Recognition
  • Simulators
  • Technical Information Centers
  • Training

Readers

  • Regression Analysis.
  • Speech Processing/Speech Recognition.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.