The Effects of Background Noise on the Performance of an Automatic Speech Recogniser

Abstract

Ambient or environmental noise is a major factor that affects the performance of an automatic speech recogniser. Large vocabulary, speaker-dependent, continuous speech recognisers are commercially available. Speech recognisers perform well in a quiet environment, but poorly in a noisy environment. Speaker-dependent speech recognisers require training prior to them being tested, where the level of background noise in both phases affects the performance of the recogniser. This study aims to determine whether the best performance of a speech recogniser occurs when the levels of background noise during the training and test phases are the same, and how the performance is affected when the levels of background noise during the training and test phases are different. The relationship between the performance of the speech recogniser and upgrading the computer speed and amount of memory as well as software version was also investigated.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2002
Accession Number
ADA414420

Entities

People

  • Ahmad Hashemi-sakhtsari
  • Jason Littlefield

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Audio Files
  • Automated Speech Recognition
  • Command And Control
  • Computer Science
  • Computers
  • Electrical Engineering
  • Engineering
  • Human Systems Integration
  • Information Science
  • Language
  • Recognition
  • Signal Processing
  • Standards
  • Statistical Analysis
  • Statistics
  • Word Recognition

Readers

  • Aquatic Ecology
  • Auditory Neuroscience/Auditory Physiology.
  • Psychometric Testing or Psychological Assessment.