Automatic detection of articulations disordersfrom children’s speech preliminary study

En reprenant les fondements de l’OLAP et en y int´ egrant les sp´ ecificit´ es des donn´ ees complexes, les travaux pr´ esent´ es dans ce chapitre abordent des probl` emes

We estimated correlations between mean GOP scores and speech comprehensibility scores on a second corpus, composed of sentences recorded by French speakers with speech disorders due

F0MeanGlobalWord Mean of the F0 value in the current utterance F0VarianceGlobalWord Variance of the F 0 value in the current utterance Mean jitter Mean value of the jitter in

On the other hand, the effect of the vocal tract shape on the intrinsic variability of the speech signal between different speakers has been widely studied and many solutions to

Those tasks required, for three different languages (English, German, Hindi), to (A) detect if tweets were containing any form of hate or offensive speech, and to (B) further

The methodology consists in introducing semantic information by using a class-based statistical language model for which classes directly correspond to IF entries.. With

Figure 1 shows the average performance obtained with all four classifiers on the prosodic, linguistic and combined features, when applied on automatic or on manual transcrip- tions..

In this paper, we propose an automatic approach for the pre- diction of dysarthric speech evaluation metrics (intelligibility, severity, articulation impairment) based on