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Supporting linguistic research using generic automatic audio/video analysis

: Schreer, Oliver; Schneider, Daniel

Postprint urn:nbn:de:0011-n-2090766 (741 KByte PDF)
MD5 Fingerprint: 1e67756b42df3ac96b9d2f071dbf3c21
Erstellt am: 2.8.2012

Seifart, F.:
Potentials of Language Documentation: Methods, Analyses, and Utilization
Honolulu/Hawaii: University of Hawaii Press, 2012 (Language Documentation & Conservation Special Publication 3)
ISBN: 978-0-9856211-0-0
Aufsatz in Buch, Elektronische Publikation
Fraunhofer IAIS ()
eHumanities; automatic annotation; endangered languages; audio analysis; video analysis; speech analysis

Automatic 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.