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2016 International Conference on Big Data and Smart Computing (BigComp) (2016)
Hong Kong, China
Jan. 18, 2016 to Jan. 20, 2016
ISSN: 2375-9356
ISBN: 978-1-4673-8795-8
pp: 293-296
Kyung-Im Han , Department of College of Liberal Education, Keimyung University, Daegu, South Korea
Hye-Jung Park , Department of Rehabilitation Science & Technology, Daegu University, South Korea
Kun-Min Lee , Department of Rehabilitation Science & Technology, Daegu University, South Korea
ABSTRACT
The purpose of this study is to suggest the visual teaching method for the English vowel pronunciation, especially for the hearing-impaired who mostly rely on the visual aids, based on the SVM technique. By extracting phonetic features using the SVM technique from the sounds that are hard to hear by ear, the lip shapes for each vowel were refined. The lip shape refinement for vowels is advantageous in that language learners can easily see the movement of articulators by eye, and it is helpful for learning and teaching English vowels for the hearing-impaired.
INDEX TERMS
Shape, Tongue, Lips, Support vector machines, Education, Feature extraction, Visualization
CITATION

K. Han, H. Park and Kun-Min Lee, "Speech recognition and lip shape feature extraction for English vowel pronunciation of the hearing-impaired based on SVM technique," 2016 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Hong Kong, China, 2016, pp. 293-296.
doi:10.1109/BIGCOMP.2016.7425931
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