ARTIFICIAL INTELLIGENCE APPROACH TO AUTOMATIC SPEECH RECOGNITION.

Research output: Contribution to conferencePaper

Abstract

This paper describes an automatic speech recognition machine which combines algorithms for acoustic signal processing, pattern recognition, syntactic and semantic analysis in an interactive hierarchy. The most important feature of this cooperative structure is that any level of processing may, at any time, invoke the aid of another level toward the ultimate goal of understanding what was said. The machine has been implemented in the form of a computer program for an IBM 360/50 and is currently being tested on a large data base.

Original languageEnglish (US)
Pages344-345
Number of pages2
StatePublished - Jan 1 1973
Externally publishedYes
EventInt Conf on Cybern and Soc, Proc - Boston, Mass
Duration: Nov 5 1973Nov 7 1973

Conference

ConferenceInt Conf on Cybern and Soc, Proc
CityBoston, Mass
Period11/5/7311/7/73

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'ARTIFICIAL INTELLIGENCE APPROACH TO AUTOMATIC SPEECH RECOGNITION.'. Together they form a unique fingerprint.

  • Cite this

    Levinson, S. E. (1973). ARTIFICIAL INTELLIGENCE APPROACH TO AUTOMATIC SPEECH RECOGNITION.. 344-345. Paper presented at Int Conf on Cybern and Soc, Proc, Boston, Mass, .