The MIT Summit Speech Recognition System: A Progress Report

Abstract

Recently, we initiated a project to develop a phonetically-based spoken language understanding system called SUMMIT. In contrast to many of the past efforts that make use of heuristic rules whose development requires intense knowledge engineering, our approach attempts to express the speech knowledge within a formal framework using well-defined mathematical tools. In our system, features and decision strategies are discovered and trained automatically, using a large body of speech data. This paper describes the system, and documents its current performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA458587

Entities

People

  • James Glass
  • Michael Phillips
  • Stephanie Seneff
  • Victor Zue

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Automated Speech Recognition
  • Computer Science
  • Computer Vision
  • Databases
  • Detectors
  • Information Science
  • Language
  • Natural Languages
  • Order Statistics
  • Rank Order Statistics
  • Recognition
  • Resource Management
  • Speech
  • Test Sets
  • Word Recognition

Fields of Study

  • Computer science

Readers

  • Defense Technology Research and Development.
  • Organizational Process Management (OPM).
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML