RT info:eu-repo/semantics/article
T1 Prosodic Feature Analysis for Automatic Speech Assessment and Individual Report Generation in People with Down Syndrome
A1 Corrales-Astorgano, Mario
A1 González-Ferreras, César
A1 Escudero-Mancebo, David
A1 Cardeñoso-Payo, Valentín
K1 Down syndrome; automatic classification; prosody
AB Evaluating prosodic quality poses unique challenges due to the intricate nature of prosody, which encompasses multiple form–function profiles. These challenges are more pronounced when analyzing the voices of individuals with Down syndrome (DS) due to increased variability. This paper introduces a procedure for selecting informative prosodic features based on both the disparity between human-rated DS productions and their divergence from the productions of typical users, utilizing a corpus constructed through a video game. Individual reports of five speakers with DS are created by comparing the selected features of each user with recordings of individuals without intellectual disabilities. The acquired features primarily relate to the temporal domain, reducing dependence on pitch detection algorithms, which encounter difficulties when dealing with pathological voices compared to typical ones. These individual reports can be instrumental in identifying specific issues for each speaker, assisting therapists in defining tailored training sessions based on the speaker’s profile.
PB MDPI
SN 2076-3417
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/82062
UL https://uvadoc.uva.es/handle/10324/82062
LA eng
NO Applied Sciences, January 2024, vol. 14, n. 1, p. 1-13.
DS UVaDOC
RD 23-ene-2026