NEW SYSTEM FOR CONTINUOUS SPEECH RECOGNITION - PRELIMINARY RESULTS.

Stephen E Levinson, A. E. Rosenberg

Research output: Contribution to journalArticlepeer-review

Abstract

A speaker dependent system for recognizing carefully articulated continuous speech is described. The system accepts English sentences composed from a 127 word vocabulary appropriate to an airline information reservation task. The system is controlled by a finite state parser which generates word candidates and establishes their temporal locations in hypothetical sentences. The word candidates are evaluated by an LPC distance measure and a dynamic programming algorithm which nonlinearly time aligns isolated word reference templates with the input speech stream. The input is recognized as the hypothetical sentence having the lowest distance according to a well-defined criterion. In a preliminary test based on 100 sentences spoken over dialed up telephone lines by two male talkers, 90% word accuracy, resulting in 75% sentence recognition, was achieved.

Original languageEnglish (US)
Pages (from-to)239-244
Number of pages6
Journal[No source information available]
StatePublished - 1979
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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