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

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

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.11 pp.1548-1552

Publication Date: 1995/11/25

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Type of Manuscript: Special Section LETTER (Special Section of Letters Selected from the 1995 IEICE General Conference)

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Naoshi DOI, Akira SHINTANI, Yasuhisa HAYASHI, Akio OGIHARA, Shinobu TAKAMATSU, "A Study on Mouth Shape Features Suitable for HMM Speech Recognition Using Fusion of Visual and Auditory Information" in IEICE TRANSACTIONS on Fundamentals, vol. E78-A, no. 11, pp. 1548-1552, November 1995, doi: .
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e78-a_11_1548/_p

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@ARTICLE{e78-a_11_1548,
author={Naoshi DOI, Akira SHINTANI, Yasuhisa HAYASHI, Akio OGIHARA, Shinobu TAKAMATSU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Study on Mouth Shape Features Suitable for HMM Speech Recognition Using Fusion of Visual and Auditory Information},
year={1995},
volume={E78-A},
number={11},
pages={1548-1552},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={November},}

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TY - JOUR
TI - A Study on Mouth Shape Features Suitable for HMM Speech Recognition Using Fusion of Visual and Auditory Information
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1548
EP - 1552
AU - Naoshi DOI
AU - Akira SHINTANI
AU - Yasuhisa HAYASHI
AU - Akio OGIHARA
AU - Shinobu TAKAMATSU
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1995
AB - 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.
ER -