In terms of information accessibility tools for hearing-impaired people, in order to understand meetings, expectations for real-time captioning utilizing speech recognition technology are increasing, from manual handwritten abstracts. However, it is still difficult to provide automatic closed captioning with a practical level of accuracy stably, without regard to various speakers and content. Therefore, we develop a web-based real-time closed captioning system that is easy to use in contact conferences, lectures, forums, etc., through trial and feedback from hearing-impaired people in the company. In this report, we outline this system as well as the results of a simple evaluation conducted inside and outside the company.
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CITATION STYLE
Fume, K., Ashikawa, T., Watanabe, N., & Fujimura, H. (2018). Implementation of automatic captioning system to enhance the accessibility of meetings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10896 LNCS, pp. 187–194). Springer Verlag. https://doi.org/10.1007/978-3-319-94277-3_31