Prosodic Information for Speech Understanding Systems.

Abstract

The goal of this project was to use prosodic information to aid speech recognition systems. Naturalistic speech data was collected and used to test and develop hypotheses about the relationship of prosodic information to the syntactic and semantic structure of English sentences. Members of the project interacted closely with other members of the ARPA SUR project. A series of SUR notes describing acoustic features of prosodies, phonological rules, stress rules, etc. were produced.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1977
Accession Number
ADA049298

Entities

People

  • Michael H. O'malley

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • California
  • Computational Linguistics
  • Computational Science
  • Computer Graphics
  • Grammars
  • Interactive Graphics
  • Language
  • Linguistics
  • Machine Perception
  • Natural Languages
  • Pattern Recognition
  • Recognition
  • Scientists
  • Signal Processing
  • Statistical Processes

Readers

  • Speech Processing/Speech Recognition.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation