Despite recent advances in automatic speech recognition (ASR), the recognition of
children's speech still remains a significant challenge. This is mainly due to the high acoustic …

This paper proposes an approach to automatically parse children's reading of sentences by
detecting word pronunciations and extra content, and to classify words as correctly or …

To automatically evaluate the performance of children reading aloud or to follow a child's
reading in reading tutor applications, different types of reading disfluencies and …

Abstract Children's Automatic Speech Recognition (ASR) represents a considerable
challenge, with a considerable performance decline of state-of-the-art systems when …

In order to develop computer tools for speech therapy that reliably classify speech
productions, there is a need for speech production corpora that characterize the target …

The work detailed in this thesis proposes solutions to automatically evaluate the reading
ability of children, targeted towards European Portuguese. Contributions were made …

The development of reliable speech therapy computer tools that automatically classify
speech productions depends on the quality of the speech data set used to train the …

Reading aloud performance in children is typically assessed by teachers on an individual
basis, manually marking reading time and incorrectly read words. A computational tool that …

Automatic speech recognition (ASR) has long been viewed as a promising solution to the
resource-intensive task of oral reading fluency assessment. The demands on ASR accuracy …

This study proposes a method of using data augmentation to address the problem of data
shortages in miscue detection tasks. Three main steps were taken. First, a phoneme …