Kastalia Knowledge Management System · Glasperlenspiel template · knot 869

Child Speech Recognition

🌐 public · created AE530703 (03.07.2023) · by DDH · open in the standard editor view · 📽 open as presentation

baumhaus.digital/Miscellanous/Presentations/AE53/Digital Primer Implementation of Human-Machine Peer Learning for Reading Acquisition/Reading Acquisition and Automatic Speech Recognition/Child Speech Recognition

majority of those who learn how to read are children

children are physiologically (differences in size  and anatomy of vocal tract; teeth change) and cognitively different from adults

children voices are different from adult voices (e.g. Fundamental frequency F of male voice =~ 112.0 Hz; F(female voice) =~ 195.8 Hz; F(boy voice) =~ 250.0 Hz; F(girl voice) =~ 244.0 Hz

datasets for children’s speech that are publicly available are quite scarce

kidsTALC (Rumberg et al, 2022) authors report 26.2 % word-error-rate (WER) of typically developing monolingual German children

Ancestors (1 superordinated path)