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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kawahara, Tatsuya Hasegawa, Masahiro |
| Copyright Year | 2002 |
| Description | Author affiliation: School of Informatics, Kyoto University, Sakyo-ku, 606-8501, Japan (Kawahara, Tatsuya; Hasegawa, Masahiro) |
| Abstract | Automatic detection of section (sub-topic) boundaries in lecture speech is addressed. The method makes use of the characteristic expressions used in initial utterances of sections defined as discourse makers, as well as pause and language model information. The discourse markers are derived in a totally unsupervised manner based on word statistics used in the information retrieval technique. The statistics is used to select candidates picked up by other information. Experimental results show that the proposed method realizes better indexing performance (better precision at high recall rates) than the simple baseline method using pause information only. Moreover, it is shown to be robust against speech recognition errors. |
| File Size | 1637241 |
| File Format | |
| ISBN | 0780374029 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2002.5743639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-05-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech Manuals Machine assisted indexing Radio access networks Soil Computational modeling Switches |
| Content Type | Text |
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