Accession Number : ADA188834

Title :   Spire Based Speaker-Independent Continuous Speech Recognition Using Mixed Feature Sets.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s) : Dawson, Robert G

PDF Url : ADA188834

Report Date : Dec 1987

Pagination or Media Count : 81

Abstract : A system was developed to investigate continuous speech recognition. The system incorporates multiple features and dynamic programming to recognize continuous inputs of the spoken digits (zero through nine). The fundamental design concept extends from previous successful recognition research efforts involving both isolated and continuous speech using multiple feature sets, multiple template sets, and dynamic programming. Among the features used in the investigation are wide band spectrogram, narrow band spectrogram, linear predictive coding (LPC) coefficients, LPC spectrum, frication frequency, and format tracks. An advanced speech research tool called SPIRE provided the computational functions needed to extract the raw features. Keywords: Theses; Speech analysis.

Descriptors :   *SPEECH ANALYSIS, *SPEECH RECOGNITION, *CYBERNETICS, BROADBAND, CODING, COEFFICIENTS, COMPUTATIONS, DYNAMIC PROGRAMMING, ISOLATION, LINEAR SYSTEMS, PREDICTIONS, SPECTROGRAPHY, SPEECH, TEMPLATES, THESES, COMPUTER PROGRAMS

Subject Categories : Cybernetics
      Voice Communications

Distribution Statement : APPROVED FOR PUBLIC RELEASE