Spontaneous Speech Effects in Large Vocabulary Speech Recognition Applications

Abstract

We describe three analyses on the effects of spontaneous speech on continuous speech recognition performance. We have found that: (1) spontaneous speech effects significantly degrade recognition performance, (2) fluent spontaneous speech yields word accuracies equivalent to read speech, and (3) using spontaneous speech training data can significantly improve performance for recognizing spontaneous speech. We conclude that word accuracy can be improved by explicitly modeling spontaneous effects in the recognizer, and by using as much spontaneous speech training data as possible. Inclusion of read speech training data, even within the task domain, does not significantly improve performance.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1992
Accession Number
ADA457708

Entities

People

  • Elizabeth Shriberg
  • Hy Murveit
  • John Butzberger
  • Patti Price

Organizations

  • SRI International

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Automated Speech Recognition
  • Data Sets
  • Discrete Distribution
  • Error Analysis
  • Errors
  • Grammars
  • Information Operations
  • Language
  • Natural Languages
  • Recognition
  • Resource Management
  • Test Sets
  • Training
  • Vocabulary
  • Words (Language)
  • Workshops

Readers

  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.

Technology Areas

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