Semi-Automated Speech Transcription System Study

Abstract

This report describes preliminary explorations towards the design of a semi-automatic transcription system. Current transcription practices were studied and are described in this report. The promising results of several speech recognition experiments as well as a topic identification experiment, all performed on broadcast data, are reported. These experiments were designed to gauge the quality of speech recognition on broadcast data and to explore possible uses of a continuous speech recognizer in a semi-automatic transcription system. Possible future directions for research are also reported.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1994
Accession Number
ADA284412

Entities

People

  • Janet Baker
  • Steven Wegmann

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Adaptive Systems
  • Automated Speech Recognition
  • Background Noise
  • Contracts
  • Dictionaries
  • Hard Copy
  • Identification
  • Identification Systems
  • Language
  • Markov Models
  • Models
  • Natural Language Processing
  • Probability
  • Recognition
  • Standards
  • Test Sets

Fields of Study

  • Computer science
  • Engineering

Readers

  • Molecular Genetics
  • Neural Network Machine Learning.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks