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A Study on Mouth Shape Features Suitable for HMM Speech Recognition Using Fusion of Visual and Auditory Information
Naoshi DOI Akira SHINTANI Yasuhisa HAYASHI Akio OGIHARA Shinobu TAKAMATSU
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1995/11/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section of Letters Selected from the 1995 IEICE General Conference)
speech recognition, fusion of visual and auditory information, feature of mouth shape, image processing,
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Recently, some speech recognition methods using fusion of visual and auditory information have been researched. In this paper, a study on the mouth shape image suitable for fusion of visual and auditory information has been described. Features of mouth shape which are extracted from gray level image and binary image are adopted, and speech recognition using linear combination method has been performed. From results of speech recognition, the studies on the mouth shape features which are effective in fusion of visual and auditory information have been performed. And the effectiveness of using two kinds of mouth shape features also has been confirmed.