An Evaluation of Speech Recognition Technology.

Abstract

The last 15 years has seen the development of speech technology at very rapid rate. Unfortunately, the fact and fiction of recognition are not always easily separated. This confusion is not only evident among users, but also often among system integrators. This paper outlines the technology today and provides results from one set of benchmark tests. Three tests were performed with live speakers in three noise environments. The tasks used: a) a sixteen word discrete vocabulary, b) a 37 word connected speech vocabulary, and c) a 30 word connected speech vocabulary which was very tightly constrained (syntaxed). The noise environments included a 'quiet' background noise, noisy background of loud voices, and the sounds associated with a normal (loud) vehicle repair shop. The results indicated that virtually all systems tested could be made to perform well with specific, well-motivated speakers and under all noise conditions. Conditions not requiring advanced features (e.g., large vocabularies or connected speech) may turn these features into a liability through increased error. In spite of this, however, the technology is sufficiently mature to support many field applications. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 05, 1986
Accession Number
ADA179762

Entities

People

  • Michael G. Joost
  • Robert D. Rodman
  • Taryn S. Moody

Organizations

  • Battelle Memorial Institute

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Analysis Of Variance
  • Application Software
  • Automated Speech Recognition
  • Background Noise
  • Computer Programming
  • Computers
  • Databases
  • Environment
  • Language
  • Measurement
  • Operating Systems
  • Performance Tests
  • Recognition
  • Sound Pressure
  • Test And Evaluation
  • Vocabulary

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation