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RESEARCH
Y.J.KIM, Dept. of Computer Engineering, Hanbat National University
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BRCEE 2012_Thompson_ISI journal- special_edition.pdf
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International Conference
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Test of Vowels in Speech Recognition using Continuous Density Hidden Markov Model and Development of Phonetically-Balanced Words in the Filipino Language
Test of Vowels in Speech Recognition using Continuous Density Hidden Markov Model and Development of Phonetically-Balanced Words in the Filipino Language
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Arnel C. Fajardo, Kim Yoon-joong
Arnel C. Fajardo, Kim Yoon-joong
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An Automatic Speech Recognition (ASR) converts the speech signals into words. The recognized words can be the final output or it can be an input for a natural language processing. In this paper, vowel recognizer using Continuous density HMM and Mel-Frequency Cepstral Coefficient (MFCC) were used for feature extraction for its development, and phonetically balanced words (PBW) in Filipino were developed. Thus, this study is a preparation for Filipino Language ASR using HMM.
BRCEE 2012_Thompson_ISI journal- special_edition.pdf/95878KB
PAPER_2012.rar
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Arnel C. Farjardo, and Yoon-Joong Kim, Test of Vowels in Speech Recognition using Continuous Density Hidden Markov Model and Development of Phonetically-Balanced Words in the Filipino Language, International Conference on Engineering & Business Education, Innovation and Entrepreneurship, Sibiu, Romania, 18 - 21 October, 2012
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2012-10-18/2014-04-07/Arnel Cristobal Fajardo
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