Longitudinal study of voice recognition in children

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, S., Das, P., Holsopple, L. & Schuckers, S., (2020). Longitudinal study of voice recognition in children. In: Brömme, A., Busch, C., Dantcheva, A., Raja, K., Rathgeb, C. & Uhl, A. (Hrsg.), BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group. Bonn: Gesellschaft für Informatik e.V.. (S. 97-106).
@inproceedings{mci/Purnapatra2020,
author = {Purnapatra, Sandip AND Das, Priyanka AND Holsopple, Laura AND Schuckers, Stephanie},
title = {Longitudinal study of voice recognition in children},
booktitle = {BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group},
year = {2020},
editor = {Brömme, Arslan AND Busch, Christoph AND Dantcheva, Antitza AND Raja, Kiran AND Rathgeb, Christian AND Uhl, Andreas} ,
pages = { 97-106 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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ISBN: 978-3-88579-700-5
ISSN: 1617-5468
Datum: 2020
Sprache: en (en)
Typ: Text/Conference Paper
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