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Longitudinal study of voice recognition in children

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2020

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Gesellschaft für Informatik e.V.

Zusammenfassung

Speaker recognition as a biometric modality is on the rise in the consumer marketplace for banking, online services, and personal assistant services with a potential for wider application areas. Most current applications involve adults. One of the biggest challenges in speaker recognition for children is the change in the voice properties as a child age. This work proposes a baseline longitudinal dataset from the same 30 children in the age group of 4 to 14 years over a time frame of 2.5 years and evaluates speaker recognition performance in children with the available speaker recognition technology.

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Purnapatra, Sandip; Das, Priyanka; Holsopple, Laura; Schuckers, Stephanie (2020): Longitudinal study of voice recognition in children. BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-700-5. pp. 97-106. Regular Research Papers. International Digital Conference. 16.-18. September 2020

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