Accession Number : AD0854915

Title :   Computer Recognition of Speech Utilizing Zero-Crossing Information.

Descriptive Note : Thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF

Personal Author(s) : Taylor,John Francis

Report Date : JUN 1968

Pagination or Media Count : 64

Abstract : The nature of speech sounds is studied with particular emphasis on the information bearing elements of speech. The association of the amplitude clipped-speech zero-crossing rate, formant frequencies and information content of a speech signal is presented and capitalized upon to produce readily extractable first and second formants from the speech wave. Various methods of processing the formants to generate unique patterns for particular sounds are attempted, with a time plot of the arithmetic difference of the two formants being explored in detail. The object being to obtain machine recognition of speech. Computer machine language programs are prepared to realize an Euclidean comparison of spoken numbers zero to nine against a previously stored 'dictionary.' Testing showed this type processing satisfactory for some voices, but not readily extendible to many voices with the same 'dictionary.' Methods of overcoming this shortcoming are suggested. (Author)

Descriptors :   (*SPEECH RECOGNITION, *PATTERN RECOGNITION), CORRELATION TECHNIQUES, COMPUTER PROGRAMMING, SPEECH, SIGNALS, THESES, DATA PROCESSING

Subject Categories : Bionics
      Voice Communications

Distribution Statement : APPROVED FOR PUBLIC RELEASE