Accessibility, transcription, and access everywhere
IBM Systems Journal
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Incorporating speaker and discourse features into speech summarization
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Automatic slide generation based on discourse structure analysis
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
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It is very significant in the knowledge society to accumulate spoken documents on the web. However, because of the high redundancy of spontaneous speech, the transcribed text in itself 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 its readability on the browser. The readable text can be generated by applying technology such as paraphrasing, segmentation and structuring to the transcribed texts. An edit experiment using lecture data showed the feasibility of the technique. A prototype system of spoken document archiving was implemented to confirm its effectiveness.