Purnapatra, SandipDas, PriyankaHolsopple, LauraSchuckers, StephanieBrömme, ArslanBusch, ChristophDantcheva, AntitzaRaja, KiranRathgeb, ChristianUhl, Andreas2020-09-162020-09-162020978-3-88579-700-5https://dl.gi.de/handle/20.500.12116/34317Speaker 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.enSpeaker verificationChildren’s voiceMFCCLFCCGMMJFAISVInter-session variability.Text/Conference Paper1617-5468