For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Speech Recognition Using HMM Based on Fusion of Visual and Auditory Information
Akira SHINTANI Akio OGIHARA Yoshikazu YAMAGUCHI Yasuhisa HAYASHI Kunio FUKUNAGA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1994/11/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section of Letters Selected from the 1994 IEICE Spring Conference)
speech recognition, fusion of visual and auditory, sensor fusion, Hidden Markov Model,
Full Text: PDF>>
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.