Strategies for Recognition of Spoken Sentences from Visual Examination of Spectrograms

Abstract

The aim of this study is to gain insight into the strategies that might be necessary in a device for the automatic recognition of spoken sentences, through an experiment in which speech recognition is attempted by visual recognition of spectrograms by experienced experimenters. Spectrograms of a set of ten sentences, constructed from a vocabulary of 200 words, were prepared and the experimenters (the authors) attempted two tasks from visual examination of the spectrograms: (1) phonetic transcription of the sentences in terms of phonetic symbols or in terms of a partial feature specification; and (2) recognition of each sentence as a whole, using any available information, including the lexicon.

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Document Details

Document Type
Technical Report
Publication Date
Jun 10, 1971
Accession Number
AD0728019

Entities

People

  • Dennis H. Klatt
  • Kenneth N. Stevens

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Automatic
  • Broadband
  • Computer Programs
  • Computer Science
  • Computers
  • Frequency
  • Identification
  • Language
  • Linguistics
  • Materials
  • Observers
  • Recognition
  • Specifications
  • Speech Analysis
  • Word Recognition

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation