[PDF][PDF] kidsTALC: A Corpus of 3-to 11-year-old German Children's Connected Natural Speech.

L Rumberg, C Gebauer, H Ehlert, M Wallbaum… - …, 2022 - researchgate.net
In this paper we present kidsTALC an audio dataset with orthographic and phonetic
transcriptions of German children's speech collected to facilitate the development of speech …

Comprehensive literature review on children automatic speech recognition system, acoustic linguistic mismatch approaches and challenges

R Sobti, K Guleria, V Kadyan - Multimedia Tools and Applications, 2024 - Springer
Abstract Automatic Speech Recognition (ASR) system for children is as important as for
adults since children are more dependent on these systems nowadays, such as computer …

Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations

R Lu, M Shahin, B Ahmed - arXiv preprint arXiv:2211.07769, 2022 - arxiv.org
Children's speech recognition is a vital, yet largely overlooked domain when building
inclusive speech technologies. The major challenge impeding progress in this domain is the …

An automated lexical stress classification tool for assessing dysprosody in childhood apraxia of speech

J McKechnie, M Shahin, B Ahmed, P McCabe, J Arciuli… - Brain Sciences, 2021 - mdpi.com
Childhood apraxia of speech (CAS) commonly affects the production of lexical stress
contrast in polysyllabic words. Automated classification tools have the potential to increase …

A Neural Network Architecture for Children's Audio–Visual Emotion Recognition

A Matveev, Y Matveev, O Frolova, A Nikolaev, E Lyakso - Mathematics, 2023 - mdpi.com
Detecting and understanding emotions are critical for our daily activities. As emotion
recognition (ER) systems develop, we start looking at more difficult cases than just acted …

Augmentation Techniques for Adult-Speech to Generate Child-Like Speech Data Samples at Scale.

MY Yiwere, A Barcovschi, R Jain, H Cucu… - IEEE …, 2023 - ieeexplore.ieee.org
Technologies such as Text-To-Speech (TTS) synthesis and Automatic Speech Recognition
(ASR) have become important in providing speech-based Artificial Intelligence (AI) solutions …

Automatic Screening of Childhood Speech Sound Disorders and Detection of Associated Pronunciation Errors

M Shahin - 2023 - unsworks.unsw.edu.au
Speech disorders in children can affect their fluency and intelligibility. Delay in their
diagnosis and treatment increases the risk of social impairment and learning disabilities …

[PDF][PDF] Digital Primer Implementation of Human-Machine Peer Learning for Reading Acquisition: Introducing Curriculum 2

DD Hromada, H Kim - 2023 - researchgate.net
The aim of the digital primer project is cognitive enrichment and fostering of acquisition of
basic literacy and numeracy of 5–10 year old children. Here, we focus on Primer's ability to …

[PDF][PDF] Prosodic Clitics in English-speaking Children's Speech Production–An Acoustic Study

R Cai, P Boersma, I Yuen, K Demuth, T Benders - isca-archive.org
speaking children have been suggested to cliticize function words as early as 2 years of
age. However, several limitations to previous research, notably the absence of identical …

[PDF][PDF] Training forced aligners on (mis) matched data: the effect of dialect and age

Training forced phonemic aligners for novel language varieties is non-trivial, as it requires
aligned corpora. However, aligning novel corpora requires accurate forced aligners. To …