The automatic detection of speech disorders in children: Challenges, opportunities, and preliminary results

M Shahin, U Zafar, B Ahmed - IEEE Journal of Selected Topics …, 2019 - ieeexplore.ieee.org
Given the limited accessibility to Speech and Language Pathologists (SLPs) children in
need often have, pediatric Computer-Aided Speech Therapy (CAST) tools can play an …

Exploring the role of machine learning in diagnosing and treating speech disorders: A systematic literature review

Z Brahmi, M Mahyoob, M Al-Sarem… - Psychology Research …, 2024 - Taylor & Francis
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …

A longitudinal evaluation of tablet-based child speech therapy with Apraxia World

A Hair, KJ Ballard, C Markoulli, P Monroe… - ACM Transactions on …, 2021 - dl.acm.org
Digital games can make speech therapy exercises more enjoyable for children and increase
their motivation during therapy. However, many such games developed to date have not …

Develo** children's ASR system under low-resource conditions using end-to-end architecture

S Shahnawazuddin - Digital Signal Processing, 2024 - Elsevier
The work presented in this paper aims at enhancing the performance of end-to-end (E2E)
speech recognition task for children's speech under low resource conditions. For majority of …

[PDF][PDF] Age-Invariant Training for End-to-End Child Speech Recognition Using Adversarial Multi-Task Learning.

L Rumberg, H Ehlert, U Lüdtke, J Ostermann - Interspeech, 2021 - researchgate.net
Automatic speech recognition for children's speech is a challenging task mainly due to
scarcity of publicly available child speech corpora and wide inter-and intra-speaker …

Peppanet: Effective mispronunciation detection and diagnosis leveraging phonetic, phonological, and acoustic cues

BC Yan, HW Wang, B Chen - 2022 IEEE Spoken Language …, 2023 - ieeexplore.ieee.org
Mispronunciation detection and diagnosis (MDD) aims to detect erroneous pronunciation
segments in an L2 learner's articulation and subsequently provide informative diagnostic …

Automatic speech recognition (ASR) for the diagnosis of pronunciation of speech sound disorders in Korean children

T Ahn, Y Hong, Y Im, DH Kim, D Kang… - Clinical Linguistics & …, 2024 - Taylor & Francis
This study presents a model of automatic speech recognition (ASR) that is designed to
diagnose pronunciation issues in children with speech sound disorders (SSDs) to replace …

Automatic Detection of Speech Sound Disorder in Cantonese-Speaking Pre-School Children

SI Ng, CWY Ng, J Wang, T Lee - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Speech sound disorder (SSD) is a type of developmental disorder in which children
encounter persistent difficulties in correctly producing certain speech sounds …

[HTML][HTML] Detection and Segmentation of Mouth Region in Stereo Stream Using YOLOv6 and DeepLab v3+ Models for Computer-Aided Speech Diagnosis in Children

A Sage, P Badura - Applied Sciences, 2024 - mdpi.com
This paper describes a multistage framework for face image analysis in computer-aided
speech diagnosis and therapy. Multimodal data processing frameworks have become a …

Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors

MS Ribeiro, J Cleland, A Eshky, K Richmond… - Speech …, 2021 - Elsevier
Speech sound disorders are a common communication impairment in childhood. Because
speech disorders can negatively affect the lives and the development of children, clinical …