Usable, Real-Time, Interactive Spoken Language Systems

Abstract

The objective of this project was to make the next significant advance in human-machine interaction by developing a spoken language system (SLS) that operates in real-time while maintaining high accuracy on cost- effective COTS (commercial, off-the-shelf) hardware. The system has a highly interactive user interface, is largely user independent and to be easily portable to new applications. The BBN HARC spoken language system consists of Byblos speech recognition system and the Delphi or HUM language understanding system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA286349

Entities

People

  • J. Makhoul
  • M. Bates

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Computational Linguistics
  • Computational Science
  • Databases
  • Diptera
  • Hidden Markov Models
  • Language
  • Linguistics
  • Markov Models
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Neural Networks
  • Probability
  • Signal Processing

Fields of Study

  • Computer science

Readers

  • Parallel and Distributed Computing.
  • Speech Processing/Speech Recognition.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation