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ISOLATED WORD RECOGNITION FOR DIGITS ZERO THROUGH NINE

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Date Issued:
1987
Summary:
An isolated word recognition system for the words zer o through nine has been implemented using an IBM Personal Computer AT with a Data Translation DT2821 12-bit data acquisition card . The software has been written f o r the 80286 based machine in assembly and compiled basic. Since this research was aimed at defining techniques that could work for speech recognition, real time recognition was not a goal. Three techniques were tested for speech recognition. The first method tried to match entire words, using the fast Fourier transform, the fast Walsh transform, the average magnitude function, and the zero crossing rate. The second method used the short-time fast Fourier transform to recognize the phonemes, then the words. The third method used a digital filter generated from I in ear predictive coding coefficients and the zero crossing rate to recognize the phonemes and words. A recognition rate of 98 percent was achieved for a single user for the words zero through nine.
Title: ISOLATED WORD RECOGNITION FOR DIGITS ZERO THROUGH NINE.
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Name(s): CURTIS, BRYCE ALLEN.
Florida Atlantic University, Degree grantor
Kostopoulos, George, Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1987
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 125 p.
Language(s): English
Summary: An isolated word recognition system for the words zer o through nine has been implemented using an IBM Personal Computer AT with a Data Translation DT2821 12-bit data acquisition card . The software has been written f o r the 80286 based machine in assembly and compiled basic. Since this research was aimed at defining techniques that could work for speech recognition, real time recognition was not a goal. Three techniques were tested for speech recognition. The first method tried to match entire words, using the fast Fourier transform, the fast Walsh transform, the average magnitude function, and the zero crossing rate. The second method used the short-time fast Fourier transform to recognize the phonemes, then the words. The third method used a digital filter generated from I in ear predictive coding coefficients and the zero crossing rate to recognize the phonemes and words. A recognition rate of 98 percent was achieved for a single user for the words zero through nine.
Identifier: 14360 (digitool), FADT14360 (IID), fau:11163 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.E.)--Florida Atlantic University, 1987.
Subject(s): Word recognition--Computer programs
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/14360
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.