Speech sound disorder (SSD) is one of the most common communication disorders in children, which must be diagnosed and treated in childhood to prevent its negative psychological, occupational, and social consequences in adulthood. The use of serious games is one technology that could help treat SSD. This study aims to design and evaluate the usability of a digital game for 3-6-year-old children. This developmental study was carried out in three main stages: determining information requirements, designing and developing a digital game, and evaluating the usability of the designed game. In the first stage, the consonants, syllables, words, and sentences that should be used in the game were determined through focus group sessions and a questionnaire completed by 30 speech-language pathologists (SLPs) in two Delphi rounds. In the designing and developing stage, the game design document was first written, and then sketches and wireframes were drawn based on this document. Then, the game was developed in the second phase using Java programming language. In the third stage, the usability of the designed game was evaluated by six experts and 22 SLPs using Nielsen\'s usability heuristics and the Post-Study System Usability Questionnaire (PSSUQ), respectively. Also, the usability of the game was evaluated by ten children. To determine the information requirements, SLPs confirmed 23 consonants, 138 syllables, 564 words, and 69 sentences to teach children the game. According to Nielsen\'s usability heuristics, the designed game had 23 unique usability problems with a mean severity of 2.29. \"User control and freedom,\" with five usability problems, was the most frequently identified problem, and \"error prevention,\" with a mean severity of 3.83, was the most severe problem. The results of the SLPs\' evaluation also showed that the \"interface quality\" of the designed game obtained the highest score, with a mean score of 6.25 out of 7. Also, 100% of children stated that the game was designed beautifully, and 90% of children also liked the game. A serious game designed for children with SSDs achieved satisfactory results in usability evaluation. Therefore, this smartphone-based game can be easily used among these children to provide fun therapy sessions under the supervision of parents.

BACKGROUND: Identification of auditory processing disorders is achieved using questionnaires along with linguistic, non-linguistic, and auditory processing tests. Notably, the questionnaires \"Children\'s Auditory Performance Scale\" (CHAPS) and \"Auditory Processing Domain Questionnaire\" (APDQ) are widely recognized and used. The current study investigated the psychometric properties of the CHAPS and APDQ in Greek Cypriot children.
METHODS: The CHAPS and APDQ questionnaires were completed by parents of 40 Greek Cypriot children, 16 typically developing (TD) children, and 24 children with a history of Speech Sound Disorders (SSDs).
RESULTS: There were significant differences between the two groups on both questionnaires. Cronbach\'s alpha was calculated at α = 0.922 for the CHAPS total score and α = 0.926 for the APDQ total score. The Receiver Operating Curve (ROC) analysis provided a cut-off point equal to -0.30 (AUC 0.849, p < 0.001) for CHAPS and a cut-off point equal to 90.00 (AUC 0.820, p < 0.001) for APDQ. Significant positive Spearman ρ correlations were observed between the CHAPS and APDQ (ρ = 0.639, p = 0.001).
CONCLUSIONS: The CHAPS and APDQ can identify distinct auditory processing characteristics between in children with SSDs and TD children.

BACKGROUND: Children born with a cleft palate with or without a cleft lip (CP/L) are at increased risk for delayed language development and speech sound disorders. Enhanced Milieu Teaching with Phonological Emphasis (EMT+PE) is a recommended naturalistic intervention for toddlers with CP/L. The parents\' role in providing naturalistic interventions is critical and they need training based on learning principles to implement these interventions. Telepractice is an appropriate method for training parents and children with various speech-related disorders.
OBJECTIVE: This study aims to determine and compare the effectiveness of telepractice and the parent-implemented EMT+PE intervention on language and speech measures in toddlers with CP/L with usual interventions and determine the effectiveness maintenance of the intervention.
METHODS: A randomized controlled trial (RCT) will assess the efficacy of telepractice and the parent-implemented EMT+PE intervention in enhancing speech and language measures in toddlers with CP/L. Eligible participants will be randomly assigned to one of 2 groups: the conventional intervention group and the EMT+PE intervention group. Participants\' speech and language measures will be evaluated remotely by trained raters before and after the intervention and 2 months after the intervention. Parents of participants in the intervention group will receive 3 months of training in speech and language supportive strategies from trained therapists using telehealth fidelity scales. Parents of participants in the control group will receive the conventional speech and language intervention by cleft team therapists. Study outcomes will include language variables (mean length of utterance) and speech production variables (percent correct consonants).
RESULTS: The protocol was approved by the Research Ethics Committee of the University of Social Welfare and Rehabilitation Sciences in February 2022. The selection process of participants, as well as training therapists and raters, commenced in January 2022, the therapy and follow-up period ended in June 2023, and pre- and postintervention assessments have been conducted. Data analysis is ongoing, and we expect to publish our results by the summer of 2024. Funding is yet to be received.
CONCLUSIONS: The results of this study may help us develop a speech and language intervention with a different delivery model for toddlers with CP/L, and the cleft team care can use these results in service delivery. Consistent with our hypothesis, speech and language measures are expected to improve.
UNASSIGNED: DERR1-10.2196/54426.

Problem: Phonetic transcription is crucial in diagnosing speech sound disorders (SSDs) but is susceptible to transcriber experience and perceptual bias. Current forced alignment (FA) tools, which annotate audio files to determine spoken content and its placement, often require manual transcription, limiting their effectiveness. Method: We introduce a novel, text-independent forced alignment model that autonomously recognises individual phonemes and their boundaries, addressing these limitations. Our approach leverages an advanced, pre-trained wav2vec 2.0 model to segment speech into tokens and recognise them automatically. To accurately identify phoneme boundaries, we utilise an unsupervised segmentation tool, UnsupSeg. Labelling of segments employs nearest-neighbour classification with wav2vec 2.0 labels, before connectionist temporal classification (CTC) collapse, determining class labels based on maximum overlap. Additional post-processing, including overfitting cleaning and voice activity detection, is implemented to enhance segmentation. Results: We benchmarked our model against existing methods using the TIMIT dataset for normal speakers and, for the first time, evaluated its performance on the TORGO dataset containing SSD speakers. Our model demonstrated competitive performance, achieving a harmonic mean score of 76.88% on TIMIT and 70.31% on TORGO. Implications: This research presents a significant advancement in the assessment and diagnosis of SSDs, offering a more objective and less biased approach than traditional methods. Our model\'s effectiveness, particularly with SSD speakers, opens new avenues for research and clinical application in speech pathology.

OBJECTIVE: Children with specific language impairment (SLI) might present with speech sound disorder (SSD) and phonological awareness (PA) deficits which put them at risk of potential reading problems. This work aimed to organize an intervention program in Arabic for phonological training and to assess the effect of PA training versus the phonological therapy (PT) for children with SLI and SSD.
METHODS: The study was carried out on 60 children with comorbid SLI and SSD, aged 5-7 years. Children were equally divided into two groups; each group received language therapy combined with (PT or PA training). Measures of language development, phonological output, and PA were taken before therapy and at 4 month post-therapy for all children.
RESULTS: The two therapy groups made nearly the same amount of progress in the development of language and phonological production, with no significant differences regarding language age and percent of consonants correct (PCC). The PA training group progressed more on the PA skills than children who received PT over the same time.
CONCLUSIONS: PA training could facilitate the development of phonological skills by targeting the child\'s awareness of phonemes and improving the production of sound patterns.

Speech is a powerful, natural mode of communication that facilitates effective interactions in human societies. However, when fluency or flow of speech is affected or interrupted, it leads to speech impairment. There are several types of speech impairment depending on the speech pattern and range from mild to severe. Childhood apraxia of speech (CAS) is the most common speech disorder in children, with 1 out of 12 children diagnosed globally. Significant advancements in speech assessment tools have been reported to assist speech-language pathologists diagnosis speech impairment. In recent years, speech assessment tools have also gained popularity among pediatricians and teachers who work with preschoolers. Automatic speech tools can be more accurate for detecting speech sound disorders (SSD) than human-based speech assessment methods. This systematic literature review covers 88 studies, including more than 500 children, infants, toddlers, and a few adolescents, (both male and female) (age = 0-17) representing speech impairment from more than 10 countries. It discusses the state-of-the-art speech assessment methods, including tools, techniques, and protocols for speech-impaired children. Additionally, this review summarizes notable outcomes in detecting speech impairments using said assessment methods and discusses various limitations such as universality, reliability, and validity. Finally, we consider the challenges and future directions for speech impairment assessment tool research.

The differentiation between subtypes of speech sound disorder (SSD) and the involvement of possible underlying deficits is part of ongoing research and debate. The present study adopted a data-driven approach and aimed to identify and describe deficits and subgroups within a sample of 150 four to seven-year-old Dutch children with SSD. Data collection comprised a broad test battery including the Computer Articulation Instrument (CAI). Its tasks Picture Naming (PN), NonWord Imitation (NWI), Word and NonWord Repetition (WR; NWR) and Maximum Repetition Rate (MRR) each render a variety of parameters (e.g., percentage of consonants correct) that together provide a profile of strengths and weaknesses of different processes involved in speech production. Principal Component Analysis on the CAI parameters revealed three speech domains: (1) all PN parameters plus three parameters of NWI; (2) the remaining parameters of NWI plus WR and NWR; (3) MRR. A subsequent cluster analysis revealed three subgroups, which differed significantly on intelligibility, receptive vocabulary, and auditory discrimination but not on age, gender and SLPs diagnosis. The clusters could be typified as three specific profiles: (1) phonological deficit; (2) phonological deficit with motoric deficit; (3) severe phonological and motoric deficit. These results indicate that there are different profiles of SSD, which cover a spectrum of degrees of involvement of different underlying problems.

The question of \'when\' to treat speech sounds is often posed in the context of normative data. The new normative data suggest that speech sounds such as /ɹ/ and /l/ are acquired earlier than previously thought. The present study compared the treatment of late-acquired sounds between two age groups of English-speaking children: Young children (4-5) and Old children (7-8). Eight monolingual children with speech sound disorder (SSD) participated in the study. Each child received a criterion-based, standardised, two-phase therapy protocol. Treatment efficacy was measured by examining children\'s accuracy on real world speech probes. Treatment efficiency was measured by calculating the number of sessions required to meet the exit criterion and the mean session duration. For treatment efficacy, young children learned treated sounds as effectively as oldchildren did. For treatment efficiency, both groups required a comparable number of sessions, but young children required longer sessions than old children. The results suggest that delaying treatment of individual speech sounds is unnecessary and that a range of sounds should be considered as potential treatment targets.

Speech is the most common modality through which language is communicated, and delayed, disordered, or absent speech production is a hallmark of many neurodevelopmental and genetic disorders. Yet, speech is not often carefully phenotyped in neurodevelopmental disorders. In this paper, we argue that such deep phenotyping, defined as phenotyping that is specific to speech production and not conflated with language or cognitive ability, is vital if we are to understand how genetic variations affect the brain regions that are associated with spoken language. Speech is distinct from language, though the two are related behaviorally and share neural substrates. We present a brief taxonomy of developmental speech production disorders, with particular emphasis on the motor speech disorders childhood apraxia of speech (a disorder of motor planning) and childhood dysarthria (a set of disorders of motor execution). We review the history of discoveries concerning the KE family, in whom a hereditary form of communication impairment was identified as childhood apraxia of speech and linked to dysfunction in the FOXP2 gene. The story demonstrates how instrumental deep phenotyping of speech production was in this seminal discovery in the genetics of speech and language. There is considerable overlap between the neural substrates associated with speech production and with FOXP2 expression, suggesting that further genes associated with speech dysfunction will also be expressed in similar brain regions. We then show how a biologically accurate computational model of speech production, in combination with detailed information about speech production in children with developmental disorders, can generate testable hypotheses about the nature, genetics, and neurology of speech disorders.
Though speech and language are distinct, specific types of developmental speech disorder are associated with far-reaching effects on verbal communication in children with neurodevelopmental disorders. Therefore, detailed speech phenotyping, in collaboration with experts on pediatric speech development and disorders, can lead us to a new generation of discoveries about how speech development is affected in genetic disorders.

Precision teaching is a measurement system that uses frequency as its basic data and plots those data on a standard celeration chart for practitioners to make decisions (Maloney, 1998). Kay, a 17-year-old girl with autism spectrum disorder and profound speech sound disorder, participated in this multiple-baseline across-behaviors study. The syllables \"thu,\" \"fu,\" and \"cu\" were targeted for higher frequencies of correct echoic responding in isolation. Lip-tongue-teeth position prompts, frequency building (Fabrizio & Moors, 2003, European Journal of Behavior Analysis, 4(1-2), 23-36), and feedback were used in brief timed practice trials for the first 2 skills. Priming (Cihon et al., 2017) was also added to the third syllable. The frequency of correct responses accelerated from low levels in baseline to a frequency aim of 60 per minute or higher, with intervention for all 3 targets. The accuracy of her articulation with 30 functional words with the component consonant sounds was measured and showed significant improvements from baseline to postintervention. The outcomes representing fluent performance were also achieved. The implications of training for fluency of syllables on word speech are discussed.