Training Methodologies for Dependent Speech Recognition (SR) Systems

Abstract

An experiment was conducted to determine whether a dependent SR system would perform with different accuracies given different ways in which it was trained. The experiment used a SR system (Voice Navigator) which is based on Dragon Systems, Inc. (proprietary) technology. Fifteen subjects trained three different voice patterns each and conducted four tests to compile statistics about the recognition accuracy for each pattern. The experiment was successful and demonstrated that the training method used can have significant impact on the performance of a dependent SR system. This thesis discusses the research methodology, reviews and analyzes the data collected, and states conclusions drawn about the particular dependent SR system used in the experiment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1991
Accession Number
ADA242983

Entities

People

  • Richard L. Miller

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Analysis Of Variance
  • Automated Speech Recognition
  • Consistency
  • Data Science
  • Identification
  • Information Science
  • Navigators
  • Recognition
  • Schools
  • Statistical Analysis
  • Statistics
  • Training
  • United States
  • United States Naval Academy

Fields of Study

  • Computer science

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks