It is very significant to the knowledge society to accumulate spoken documents on the web. However, because of the high redundancy of spontaneous speech, the faithfully transcribed text is not readable on an Internet browser, and therefore not suitable as a web document. This paper proposes a technique for converting spoken documents into web documents for the purpose of building a speech archiving system. The technique edits automatically transcribed texts and improves their readability on the browser. The readable text can be generated by applying technology such as paraphrasing, segmentation, and structuring transcribed texts. Editing experiments using lecture data demonstrated the feasibility of the technique. A prototype system of spoken document archiving was implemented to confirm its effectiveness.

1. [1] K. Bain, S. Basson, A. Faisman, and D. Kanevsky, “Accessibility, Transcription, and Access Everywhere,” IBM System Journal, Vol.44, No.3, pp. 589-603, 2005.
2. [2] T. Shibata and S. Kurohashi, “Automatic Slide Generation Based on Discourse Structure Analysis,” Proc. 2nd IJCNLP, pp. 754-766, 2005.
3. [3] P. Chatain, E. W. D. Whittaker, J. A. Mmzinski, and S. Furui, “Topic and Stylistic Adaptation for Speech Summarisation,” Proc. IEEE ICASSP, 2006.
4. [4] C. James and L. Mirella, “Models for Sentence Compression: a Comparison Across Domains, Training Requirements and Evaluation Measures,” Proc. ACL/COLING2006, pp. 377-384, 2006.
5. [5] X. Zhu and G. Penn, “Summarization of Spontaneous Conversations,” Proc. 9th ICSLP, pp. 1531-1534, 2006.
6. [6] G. Murray, S. Renals, J. Carletta, and J. Moore, “Incorporating Speaker and Discourse Features into Speech Summarization,” Proc. HLT/NAACL, pp. 367-374, 2006.
7. [7] K. Shitaoka, H. Nanjo, and T. Kawahara, “Automatic Transformation of Lecture Transcription into Document Style Using Statistical Framework,” Proc. 8th ICSLP, pp. 2169-2172, 2004.
8. [8] S. Matsubara, A. Takagi, N. Kawaguchi, and Y. Inagaki, “Bilingual Spoken Monologue Corpus for Simultaneous Machine Interpretation Research,” Proc. 3rd LREC. pp. 153-159, 2002.
9. [9] S. Kurohashi and M. Nagao, “A Syntactic Analysis Method of Long Japanese Sentences Based on the Detection of Conjunctive Structures,” Computational Linguistics, Vol.20, No.4, pp. 507-534, 1994.
10. [10] S. Kurohashi and M. Nagao, “Improvements of Japanese Morphological Analyser JUMAN,” Proc. 15th COLING, Vol.2, pp. 1123-1127, 1994.
11. [11] http://www.hke.jp/products/voice/voice_index.htm
12. [12] http://www.nhk.or.jp/strl/tvml/english/player2/index.html