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Speech and Language Therapists’ Perspectives of Virtual Reality as a Clinical Tool for Autism: Cross-Sectional Survey

Speech and Language Therapists’ Perspectives of Virtual Reality as a Clinical Tool for Autism: Cross-Sectional Survey

Speech and language therapists rated their knowledge on a 5-point Likert scale as excellent, good, average, poor, or very poor. Overall, they demonstrated a mixed self-reported knowledge of VR, with the majority of speech and language therapists who had not used VR, reporting poor (n=22, 41%) and average (n=20, 39%) knowledge of VR. Furthermore, a speech and language therapist exemplified this by reporting: “My own knowledge is my main limitation.”

Jodie Mills, Orla Duffy

JMIR Rehabil Assist Technol 2025;12:e63235

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

This pilot study investigates speech-based biosignatures of 2 distinct neurodegenerative conditions, that are, neurodegenerative diseases and mild traumatic brain injuries (m TBIs), specifically concussions. Speech patterns often reflect neurodegenerative health, with specific speech features showing promise for distinguishing between these conditions.

Rahmina Rubaiat, John Michael Templeton, Sandra L Schneider, Upeka De Silva, Samaneh Madanian, Christian Poellabauer

JMIR Neurotech 2025;4:e64624

Automated Detection of Neurodevelopmental Disorders Using Face-to-Face Mobile Technology Among Typically Developing Greek Children: Randomized Controlled Trial

Automated Detection of Neurodevelopmental Disorders Using Face-to-Face Mobile Technology Among Typically Developing Greek Children: Randomized Controlled Trial

Child development refers to a child’s growth, in speech, language, hearing, psychomotor, cognitive, and psychoemotional domains [1]. Speech and language development involves verbal and nonverbal communication skills [1]. Speech development refers to a child’s capacity to speak and communicate, starting from infancy with cooing and babbling and leading to single words, phrases, and sentences as the infant matures. It includes voice, articulation, and fluency [1,2].

Eugenia I Toki, Victoria Zakopoulou, Giorgos Tatsis, Jenny Pange

JMIR Form Res 2024;8:e53465

Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Prior studies have reported speech and language declines across disease progression from early MCI to moderate-stage Alzheimer disease [6-8]. Mueller et al [8] found that subtle declines in speech fluency and semantic content are apparent even prior to the onset of clinically diagnosed MCI. Therefore, developing techniques to identify early changes in language functioning may enhance the detection of subtle cognitive decline associated with pathological cognitive aging.

Varsha D Badal, Jenna M Reinen, Elizabeth W Twamley, Ellen E Lee, Robert P Fellows, Erhan Bilal, Colin A Depp

JMIR Aging 2024;7:e54655

Telepractice Parent Training of Enhanced Milieu Teaching With Phonological Emphasis (EMT+PE) For Persian-Speaking Toddlers With Nonsyndromic Cleft Palate: Protocol for a Randomized Controlled Trial

Telepractice Parent Training of Enhanced Milieu Teaching With Phonological Emphasis (EMT+PE) For Persian-Speaking Toddlers With Nonsyndromic Cleft Palate: Protocol for a Randomized Controlled Trial

Cleft palate with or without cleft lip (CP/L) frequently leads to difficulties with speech and language [1-5]. Previous studies have reported that children with CP/L have limited consonant inventory, which leads to decreased expressive vocabularies [6-8]. Thus, trained and experienced speech-language pathologists (SLPs) in cleft and craniofacial teams often provide speech-language therapy services for these children. Team-based cleft care for this population follows particular intervention protocols.

Neda Tahmasebi, Talieh Zarifian, Atieh Ashtari, Akbar Biglarian

JMIR Res Protoc 2024;13:e54426

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

Impact of Audio Data Compression on Feature Extraction for Vocal Biomarker Detection: Validation Study

In our previous work, “Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments” [7], smartphone-recorded speech was used to predict type 2 diabetes mellitus through a comprehensive acoustic analysis [7]. The study demonstrated the feasibility of using acoustic features from smartphone-recorded voice data to predict the presence of this disorder, highlighting the valuable diagnostic potential of vocal biomarkers in the context of a specific health condition [7].

Jessica Oreskovic, Jaycee Kaufman, Yan Fossat

JMIR Biomed Eng 2024;9:e56246

Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation

Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation

Activities such as respiration, swallowing, and cognitive processes can influence speech production and the pattern of pauses in authentic speech. Although voice cloning processes may closely mimic human speech production, machines have no requirements for speech breaks and instead rely on training data to indicate where these pauses occur. This may result in subtle but detectable differences in the way pauses are present in authentic versus cloned audio.

Nikhil Valsan Kulangareth, Jaycee Kaufman, Jessica Oreskovic, Yan Fossat

JMIR Biomed Eng 2024;9:e56245

Identifying the Active Ingredients of a Computerized Speech and Language Therapy Intervention for Poststroke Aphasia: Multiple Methods Investigation Alongside a Randomized Controlled Trial

Identifying the Active Ingredients of a Computerized Speech and Language Therapy Intervention for Poststroke Aphasia: Multiple Methods Investigation Alongside a Randomized Controlled Trial

Due to health care costs, limited speech and language therapy is provided to people with poststroke aphasia beyond the first few months [3]. Self-managed approaches have gained traction as health care providers try to meet the growing demand for their services [4]. Computerized Speech and Language Therapy (CSLT) provides an opportunity for people with aphasia to self-manage their own rehabilitation by practicing rehabilitation exercises in their own homes [5].

Madeleine Harrison, Rebecca Palmer, Cindy Cooper

JMIR Rehabil Assist Technol 2023;10:e47542