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The automatic detection of speech disorders in children: Challenges, opportunities, and preliminary results
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 …
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
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …
operations and hindering effective communication. This study addresses the gap in …
A longitudinal evaluation of tablet-based child speech therapy with Apraxia World
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 …
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 …
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.
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 …
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
Mispronunciation detection and diagnosis (MDD) aims to detect erroneous pronunciation
segments in an L2 learner's articulation and subsequently provide informative diagnostic …
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 …
diagnose pronunciation issues in children with speech sound disorders (SSDs) to replace …
Automatic Detection of Speech Sound Disorder in Cantonese-Speaking Pre-School Children
Speech sound disorder (SSD) is a type of developmental disorder in which children
encounter persistent difficulties in correctly producing certain speech sounds …
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
This paper describes a multistage framework for face image analysis in computer-aided
speech diagnosis and therapy. Multimodal data processing frameworks have become a …
speech diagnosis and therapy. Multimodal data processing frameworks have become a …
Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors
Speech sound disorders are a common communication impairment in childhood. Because
speech disorders can negatively affect the lives and the development of children, clinical …
speech disorders can negatively affect the lives and the development of children, clinical …