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ISOLATED WORD RECOGNITION FOR DIGITS ZERO THROUGH NINE
- 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 |
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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. |
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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. |