Abstract
Deaf or hard-of-hearing students who attend lessons at university acquire much less information than students with normal hearing. The captionist (transcriptionist) listens to the teacher and “re-speaks” (repeats exactly what is heard) what the teacher says. The clear and distinct speech that is repeated by the captionist is sent to the automatic speech recognition (ASR) software installed on a personal computer, which performs “speech-to-text conversion”. However, it is not easy to “re-speak”. The results of the research suggest that listening through headphones with superior sound-proofing features enables captionists to sustain re-speak ability compared with listening directly. These facts indicate that the recognition accuracy of existing ASR technologies could be maintained.
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References
Miyoshi, S., Ishihara, Y., Nishikawa, S., Kobayashi, M.: Real-Time Captioning System using Voice Recognition Technique for Hearing Impaired Persons at Lecture. IEICE technical report. Education technology 103(600), 15–18 (2004)
Tachiiri, H., Inoue, K., Miyatake, Y.: Support system for full-joining to the lecture using voice recognition for the students with hearing impaired. Technical report of IEICE. Thought and language 103(114), 43–48 (2003)
Sylencer SmartMic, http://www.talk-tech.net/
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© 2008 Springer-Verlag Berlin Heidelberg
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Miyoshi, S., Kuroki, H., Kawano, S., Shirasawa, M., Ishihara, Y., Kobayashi, M. (2008). Support Technique for Real-Time Captionist to Use Speech Recognition Software. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds) Computers Helping People with Special Needs. ICCHP 2008. Lecture Notes in Computer Science, vol 5105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70540-6_92
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DOI: https://doi.org/10.1007/978-3-540-70540-6_92
Publisher Name: Springer, Berlin, Heidelberg
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