Automatic speech recognition (ASR) is one of the ways used to transform acoustic speech
signals into text. Over the last few decades, an enormous amount of research work has been …

Automatic spontaneous speaking assessment systems bring numerous advantages to
second language (L2) learning and assessment such as promoting self-learning and …

Reading is a foundational skill and the focus of school-level education efforts across
countries. The assessment of linguistic competence from oral reading has long been the …

We propose a computational framework for estimating multidimensional subjective ratings of
the reading performance of young readers from speech-based objective measures. We …

This work introduces approaches to assessing phrase breaks in ESL learners' speech using
pre-trained language models (PLMs) and large language models (LLMs). There are two …

Automated prosody classification in the context of oral reading fluency is a critical area for
the objective evaluation of students' reading proficiency. In this work, we present the largest …

Prosody is the supra-segmental aspect of speech that helps to convey the structure and
intended meaning of lexical content unambiguously. The automatic detection of prosodic …

Purpose: The differential diagnosis of developmental language disorder (DLD) in bilingual
children represents a unique challenge due to their distributed language exposure and …

Abstract The development of Automatic Speech Recognition (ASR) systems has varied
significantly across the roughly 6500 languages that make up the world's spoken languages …

This work introduces an approach to assessing phrase break in ESL learners' speech with
pre-trained language models (PLMs). Different with traditional methods, this proposal …