The Red Hen Anonymizer and the Red Hen Protocol for de-identifying audiovisual recordings
-
Yash Khasbage
,
Daniel Alcaraz Carrión
,
Jennifer Hinnell
,
Frankie Robertson
,
Karan Singla
Abstract
Scientists of multimodal communication have no established policy or default tool for sharing de-identified audiovisual recordings. Recently, new technology has been developed that enables researchers to de-identify voice and appearance. These software tools can produce output in JSON format that specifies bodypose and face and hand keypoints in numerical form, suitable for computer search, machine learning, and sharing. The Red Hen Anonymizer is a new tool for de-identification. This article presents the Red Hen Anonymizer and discusses guidelines for its use.
Funding source: Google
Funding source: Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR)
Funding source: Alexander von Humboldt-Stiftung
Funding source: Fundación Séneca
Award Identifier / Grant number: 21250/PD/19
Acknowledgments
We gratefully acknowledge the funding of the software development by Google through their Google Summer of Code 2021 program. Some of the research was carried out within the project Talking Hands, funded by the Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR). Some of this work was supported by an Anneliese Maier Research Award, from the Alexander von Humboldt Foundation. Some of this work was supported by 21250/PD/19 Fundación Séneca. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.
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Artikel in diesem Heft
- Frontmatter
- Editorial
- Editorial 2023
- Research Articles
- Tapped /r/ in RP: a corpus-based sociophonetic study across the twentieth century
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- The effect of L2 German on grammatical gender access in L1 Polish: proficiency matters
- Validation of two measures for assessing English vocabulary knowledge on web-based testing platforms: brief assessments
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