Towards Very Large Vocabulary Word Recognition

Abstract

In this paper, preliminary considerations and some experimental results are presented in an effort to design Very Large Vocabulary Recognition (VLVR) systems. We will first consider the applicability of current recognition techniques and argue their inadequacy for VLVR. Possible alternate strategies will be explored and their potential usefulness statistically evaluated. Our results indicate that suprasegmental cues such as syllabification, stress patterns, rhythmic patterns, rhythmic patterns and the voiced - unvoiced patterns in the syllables of a word provide powerful mechanisms for search space reduction. Suprasegmental feature could thus operate in a complementary fashion to segmental features.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 1982
Accession Number
ADA125224

Entities

People

  • A. Waibel

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Science
  • Computers
  • Databases
  • Dictionaries
  • English Language
  • Frequency
  • Intelligibility
  • Language
  • Linguistics
  • Measurement
  • Natural Languages
  • Phonemes
  • Recognition
  • Speech
  • Syllables
  • Vocabulary
  • Word Recognition

Readers

  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • Space