Language Modelling for Automatic Speech Recognition: A Review.

Abstract

This memorandum reviews recent studies and developments in methods of language modelling which are specifically relevant to automatic speech recognition (ASR). An introduction is given to the general area of language models and the ways of formalising linguistic knowledge. Various techniques for applying phonological, syntactic and semantic constraints to ASR are discussed. The review covers papers written as early as the 1970's but the emphasis is on the more recent developments and techniques which are now being used in speech research. The formal methods of applying linguistic constraints are discussed and criticised according to their suitability for the speech research work carried out at RSRE.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1987
Accession Number
ADA183737

Entities

People

  • L. Dodd
  • S. R. Johnson

Organizations

  • Royal Signals and Radar Establishment

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Automatic
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Programs
  • Computer Science
  • Formal Languages
  • Grammars
  • Information Processing
  • Language
  • Linguistics
  • Markov Models
  • Natural Languages
  • Probability
  • Recognition

Readers

  • Software Engineering.
  • Speech Processing/Speech Recognition.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation