Conventionally, the extraction of hand-crafted acoustic features has been separated from the
task of establishing robust machine-learning models in speech processing. The manual …

Robot-assisted language learning (RALL) is becoming a more commonly studied area of
human-robot interaction (HRI). This research draws on theories and methods from many …

An increasing number of human-robot interaction (HRI) studies are now taking place in
applied settings with children. These interactions often hinge on verbal interaction to …

Children speech recognition is challenging mainly due to the inherent high variability in
children's physical and articulatory characteristics and expressions. This variability manifests …

Automatic Speech Recognition (ASR) systems often struggle with transcribing child speech
due to the lack of large child speech datasets required to accurately train child-friendly ASR …

A practical speech audiometry tool is the digits-in-noise (DIN) test for hearing screening of
populations of varying ages and hearing status. The test is usually conducted by a human …

Automatic recognition of children's speech is a challenging research problem due to several
reasons. One among those is unavailability of large amounts of speech data from child …

Abstract Recently, Google launched YouTube Kids, a mobile application for children, that
uses a speech recognizer built specifically for recognizing children's speech. In this paper …

We investigated the feasibility of using automatic speech recognition (ASR) and natural
language processing (NLP) to classify collaborative problem solving (CPS) skills from …

There is a long record of research on equity in schools. As machine learning researchers
begin to study fairness and bias in earnest, language technologies in education have an …