Abstract
We propose a support system for lecture captioning. The system can detect the keywords of a lecture and present them to captionists. The captionists can understand what an instructor said even when they cannot understand the keywords, and can input keywords rapidly by pressing the corresponding function key. The system detects the keywords by automatic speech recognition (ASR). To improve the detection rate of keywords, we adapt the language model of ASR using web documents. We collect 2,700 web documents, which include 1.2 million words and 5,800 sentences. We conducted an experiment to detect keywords of a real lecture and showed that the system can achieve higher F-measure of 0.957 than that of a base language model (0.871).
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Miyoshi, S., Kawano, S., Nishioka, T., Kato, N., Shirasawa, M., Murakami, H., Minagawa, H., Ishihara, Y., Naito, I., Wakatsuki, D., Kuroki, H., Kobayashi, M.: A basic study on supplementary visual information for real-time captionists in the lecture of information science. IEICE Trans. Inf. Syst. (Japanese edition) J91(D(9)), 2236–2246 (2008)
Kato, N., Kawano, S., Kuroki, H., Murakami, H., Nishioka, T., Wakatsuki, D., Minagawa, H., Shionome, T., Miyoshi, S., Shirasawa, M., Ishihara, Y.: Basic Study of Keyword Presentation System for Hearing Impaired Students. IEICE Technical Report ET2007-81 107(462), pp. 71–76 (2008). (in Japanese)
Kawahara, T.: Recent progress of spontaneous speech recognition deployment in parliament and applications to lectures. J. Multimed. Educ. Res. 9(1), S1–S8 (2012). (in Japanese)
Miyoshi, S., Kuroki, H., Kawano, S., Shirasawa, M., Ishihara, Y., Kobayashi, M.: Support technique for real-time captionist to use speech recognition software. In: Miesenberger, K., Klaus, J., Zagler, W.L., Karshmer, A.I. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 647–650. Springer, Heidelberg (2008)
Miyoshi, S., Kuroki, H., Kawano, S., Shirasawa, M., Ishihara, Y., Kobayashi, M.: Support Technique for Real-Time Captionist to Use Speech Recognition Software. Tsukuba University of Technology Techno Report 14, pp. 145–151 (2007). (in Japanese)
Munteanu, C., Penn, G., Beacker, R.: Web-based language modelling for automatic lecture transcription. In: Proceedings of 8th Annual Conference of the International Speech Communication Association, no. ThD.P3a-2, pp. 2353–2356 (2007)
Kawahara, T., Nemoto, Y., Akita, Y.: Automatic lecture transcription by exploiting presentation slide information for language model adaptation. In: Proceedings of ICASSP, pp. 4929–4932 (2008). (in Japanese)
Furui, S.: Recent advances in spontaneous speech recognition and understanding. In: Proceedings of ISCA & IEEE Workshop on Spontaneous Speech Processing and Recognition, pp. 1–6 (2003). (in Japanese)
Ito, A.: Palmkit (2009). http://palmkit.sourceforge.net/
Stolcke, A.: SRILM – An extensible language modeling toolkit. In: Proceedings of ICSLP (2002)
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Ikeda, N., Takeuchi, Y., Matsumoto, T., Kudo, H., Ohnishi, N. (2016). Support System for Lecture Captioning Using Keyword Detection by Automatic Speech Recognition. In: Miesenberger, K., Bühler, C., Penaz, P. (eds) Computers Helping People with Special Needs. ICCHP 2016. Lecture Notes in Computer Science(), vol 9759. Springer, Cham. https://doi.org/10.1007/978-3-319-41267-2_53
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DOI: https://doi.org/10.1007/978-3-319-41267-2_53
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