Prosodic feature selection for automatic quality assessment of oral productions in people with Down syndrome

David Escudero, Valentín Cardeñoso-Payo, Mario Corrales Astorgano, César González-Ferreras

Evaluation of prosodic quality is always a challenging task dueto the nature of prosody with multiple form-function valid pro-files. When voice of people with Down syndrome (DS) is ana-lyzed, diversity increases making the problem even more chal-lenging. This work is framed in our activities for developinglearning games for training oral communications of people withintellectual disabilities. In this context automatic evaluationof prosodic quality is a must for deciding whether game usersshould repeat activities or continue playing and to inform ther-apists about the particular difficulties of users. In this paper wepresent a procedure for the selection of informative prosodicfeatures based on both the distance between human rated rightand wrong productions and the distance with respect to produc-tions of typical users. It is new with respect to previous worksthe use of mixed models to rate the importance of taking into ac-count the type of activity and speaker for estimating the qualityof the prosodic productions.

doi: 10.21437/IberSPEECH.2021-1

Escudero, D, Cardeñoso-Payo, V, Corrales Astorgano, M, González-Ferreras, C (2021) Prosodic feature selection for automatic quality assessment of oral productions in people with Down syndrome. Proc. IberSPEECH 2021, 1-5, doi: 10.21437/IberSPEECH.2021-1.