Robust Continuous Speech Recognition.

Abstract

The objective of this basic research is to develop accurate and detailed mathematical models of the fundamental units of speech (phonemes) for large-vocabulary continuous speech recognition. The important goals of this work are to achieve the highest possible word recognition accuracy in continuous speech and to develop methods for the rapid adaptation of phonetic models to the voice of a new speaker.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA298901

Entities

People

  • J. Makhoul
  • Robert E. Schwartz

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Automated Speech Recognition
  • Computations
  • Decoding
  • Detectors
  • Frequency
  • Grammars
  • Hidden Markov Models
  • Language
  • Markov Models
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Probability
  • Recognition
  • Test Sets
  • Training

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation