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Supporting linguistic research using generic automatic audio/video analysis

dc.contributor.authorSchreer, Oliver
dc.contributor.authorSchneider, Daniel
dc.date.accessioned2012-07-05T23:32:41Z
dc.date.available2012-07-05T23:32:41Z
dc.date.issued2012-08
dc.description.abstractAutomatic analysis can speed up the annotation process and free up human resources, which can then be spent on theorizing instead of tedious annotation tasks. We will describe selected automatic tools that support the most time-consuming steps in annotation, such as speech and speaker segmentation, time alignment of existing transcripts, automatic scene analysis with respect to camera motion, face/person detection, and the tracking of head and hands as well as the resulting gesture analysis.
dc.description.sponsorshipNational Foreign Language Resource Center
dc.identifier.citationSchreer, Oliver and Daniel Schneider. 2012. Supporting linguistic research using generic automatic audio/video analysis. In Frank Seifart, Geoffrey Haig, Nikolaus P. Himmelmann, Dagmar Jung, Anna Margetts, and Paul Trilsbeek (eds). 2012. Potentials of Language Documentation: Methods, Analyses, and Utilization. 46-53. Honolulu: University of Hawai'i Press.
dc.identifier.isbn978-0-9856211-0-0
dc.identifier.urihttp://hdl.handle.net/10125/4515
dc.publisherUniversity of Hawai'i Press
dc.relation.ispartofseriesLD&C Special Publication
dc.rightsCreative Commons Attribution Non-Commercial Share Alike License
dc.titleSupporting linguistic research using generic automatic audio/video analysis
prism.endingpage53
prism.startingpage46

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