| Paper Abstract and Keywords |
| Presentation |
2015-03-06 16:30
A Study of Multi-Modal Speech Visualization for Deaf and Hard of Hearing People Support Yusuke Toba, Hiroyasu Horiuchi, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura (Kobe Univ.), Tomohito Uchino, Tomohiro Yokoyama, Yasuhiro Takebayashi (School for the Deaf, University of Tsukuba) LOIS2014-94 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Although deaf and hard of hearing (D/HH) people have various communication ways such as sign language, conversation by writing, and lip-reading, each way has several disadvantages in one-to-many conversation. % such as meetings or conventions. This paper proposes a multi-modal visualization application in order to support D/HH people in understanding conversation with hearing people. Here, the term multi-modal visualization means providing informative contents by presenting multiple visualization modes. We suppose that selecting and combining each visualization mode by D/HH people themselves would be helpful for understanding of conversation. Additionally, we conduct a preliminary experiment for evaluating recognition accuracy of Web Speech API, which is voice recognition open software provided by Google. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
multi-modal speech visualization / deaf and hard of hearing people / supporting understanding conversation / lip-reading / voice recognition / Web Speech API / / |
| Reference Info. |
IEICE Tech. Rep., vol. 114, no. 500, LOIS2014-94, pp. 191-196, March 2015. |
| Paper # |
LOIS2014-94 |
| Date of Issue |
2015-02-26 (LOIS) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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| Download PDF |
LOIS2014-94 |