Toward Real-Time Continuous Speech Recognition

Abstract

This final report describes research on real-time speech recognition. The authors developed, under other DARPA-funded contracts, a system for continuous speech recognition. BYBLOS, the BBN Continuous Speech Recognition System, consists of a general paradigm and several algorithms for high performance speech recognition. The goals of the real-time project have been: 1) Develop algorithms and hardware for near-real time speech recognition; and 2) Develop and assess techniques for using highly parallel machines for continuous speech recognition. The authors investigated the use of the Butterfly parallel processor for increasing the speed of speech recognition. They found that is was possible to achieve factors of 10 speedup with minimal effort. More effort was required to achieve high efficiency on larger machines with 64 or more processors. Implemented was a near-real-time demonstration of continuous speech recognition with a grammar.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA208196

Entities

People

  • Owen Kimball
  • Richard Schwartz

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Automata
  • Automated Speech Recognition
  • Computational Science
  • Computations
  • Computer Programming
  • Corporations
  • Demonstrations
  • Efficiency
  • Grammars
  • Hidden Markov Models
  • Language
  • Lepidoptera
  • Parallel Processors
  • Probability
  • Recognition
  • Signal Processing

Fields of Study

  • Computer science
  • Engineering

Readers

  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML