This work proposes a novel framework for automatically scor-ing children's oral narrative
language abilities. We use audio recordings from 3rd-8th graders of the Atlanta, Georgia …

Recent findings show that pre-trained wav2vec 2.0 models are reliable feature extractors for
various speaker characteristics classification tasks. We show that latent representations …

The analysis of phonological processes is crucial in evaluating speech development
disorders in children, but encounters challenges due to limited children audio data. This …

Assessment of memory capabilities in preschool-aged children is crucial for early detection
of potential speech development impairments or delays. We present an approach for the …

Speech can contain a variety of diagnostically relevant cues. In this article, it is shown how
artificial intelligence, in particular machine learning and speech processing, can be applied …

The potential of speech technology to improve educational outcomes has been a topic of
great interest in recent years. For example, automatic speech recognition (ASR) systems …

The number of low-literate adults in the Netherlands has been steadily increasing over the
past decades. Research shows that proper reading instruction requires repeated …

3.1 Typical flow of stuttering. Expecting a stutter can lead to avoidance behavior, leading to
multiple symptoms co-occurring in quick succession. Based on [Nat+ 20] …

Voice and speech are characteristic for humans: In addition to identity, they provide clues to
gender, age, mood, and also physical and mental health. Using artificial intelligence …