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Award Abstract #1244713

Collaborative Research: Automatically Annotated Repository of Digital Video and Audio Resources Community (AARDVARC)

NSF Org: BCS
Division Of Behavioral and Cognitive Sci
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Initial Amendment Date: September 23, 2012
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Latest Amendment Date: April 8, 2013
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Award Number: 1244713
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Award Instrument: Standard Grant
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Program Manager: William J. Badecker
BCS Division Of Behavioral and Cognitive Sci
SBE Direct For Social, Behav & Economic Scie
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Start Date: September 15, 2012
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End Date: February 28, 2015 (Estimated)
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Awarded Amount to Date: $84,982.00
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Investigator(s): Damir Cavar dcavar@indiana.edu (Principal Investigator)
Helen Aristar-Dry (Former Principal Investigator)
Anthony Aristar (Former Co-Principal Investigator)
Damir Cavar (Former Co-Principal Investigator)
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Sponsor: Eastern Michigan University
Office of Research Development
YPSILANTI, MI 48197-2212 (734)487-3090
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NSF Program(s): Data Infrastructure
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Program Reference Code(s): 7433
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Program Element Code(s): 8068

ABSTRACT

Audio and video data from understudied languages is useful to linguists, anthropologists, educators, and computer scientists interested in visual action extraction, speech technology or software localization. Terabytes of such data exist, having been collected in large amounts by documentary linguists since the advent of easy digital recording via handheld devices. As records of vanishing languages and cultures, video and audio records are far richer and more captivating than paper records, but they need to be indexed and transcribed so that they reach their full potential as research tools. The current project, AARDVARC (Automatically Annotated Repository of Digital Audio and Video Resources Community) will address the problem of untranscribed, and therefore unavailable, documentation of understudied languages by building an interdisciplinary community of linguists, anthropologists, and computer scientists to share knowledge and collaborate on the specification of a repository and suite of tools to facilitate transcription. It will provide for two workshops and a symposium to design a "take one leave one" repository and to explore recent advances in speech and video processing that will allow anthropologists and linguists to break the 'transcription bottleneck' for language data. Even partial automation will greatly facilitate the work of the analyst and dramatically increase the amount of transcribed audio and video available to researchers in multiple disciplines.

 

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