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Speech Recognition Using HMM Based on Fusion of Visual and Auditory Information

Akira SHINTANI, Akio OGIHARA, Yoshikazu YAMAGUCHI, Yasuhisa HAYASHI, Kunio FUKUNAGA

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Summary :

We propose two methods to fuse auditory information and visual information for accurate sppech recognition. The first method fuses two kinds of information by using linear combination after calculating two kinds of probabilities by HMM for each word. The second method fuses two kinds of information by using the histogram which expresses the correlation of them. We have performed experiments comparing the proposed methods with the conventional method and confirmed the validity of the proposed methods.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E77-A No.11 pp.1875-1878
Publication Date
1994/11/25
Publicized
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Type of Manuscript
Special Section LETTER (Special Section of Letters Selected from the 1994 IEICE Spring Conference)
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