Sunghye Cho
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View article: Social Context Matters for Turn‐Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children
Social Context Matters for Turn‐Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children Open
Engaging in fluent conversation is a surprisingly complex task that requires interlocutors to promptly respond to each other in a way that is appropriate to the social context. In this study, we disentangled different dimensions of turn‐ta…
View article: Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children
Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children Open
Engaging in fluent conversation is a surprisingly complex task that requires interactantsto promptly respond to each other in a way that is appropriate to the social context. Inthis study, we disentangled different dimensions of turn-takin…
View article: Comparative Evaluation of Acoustic Feature Extraction Tools for Clinical Speech Analysis
Comparative Evaluation of Acoustic Feature Extraction Tools for Clinical Speech Analysis Open
This study compares three acoustic feature extraction toolkits (OpenSMILE, Praat, and Librosa) applied to clinical speech data from individuals with schizophrenia spectrum disorders (SSD) and healthy controls (HC). By standardizing extract…
View article: somno123/IS25_CoT: v1.0.0
somno123/IS25_CoT: v1.0.0 Open
Full Changelog: https://github.com/somno123/IS25_CoT/commits/v1.0.0
View article: Understanding Human Communication Patterns with LLMs: A Study of Short Conversations in Autistic Children
Understanding Human Communication Patterns with LLMs: A Study of Short Conversations in Autistic Children Open
Automated systems that analyze short conversation samples could offer valuable insights into autistic children's real-world social communication competence while highlighting opportunities for growth. In this study, we explore the potentia…
View article: Digital speech markers of cognitive impairment in ALS‐FTD spectrum disorders
Digital speech markers of cognitive impairment in ALS‐FTD spectrum disorders Open
Background Comorbid cognitive impairment in amyotrophic lateral sclerosis (i.e., ALS‐FTD), is associated with adverse clinical outcomes and survival. It often exhibits clinical features of behavioral variant frontotemporal dementia (bvFTD)…
View article: Automated analysis of story recall tasks produced by AD and MCI patients
Automated analysis of story recall tasks produced by AD and MCI patients Open
Background Story recall tasks are often employed in clinical settings to measure verbal episodic memory in individuals with mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Traditional analyses (e.g. total number of recalled w…
View article: An automated method for quantifying syntactic complexity of spontaneous speech in Primary Progressive Aphasia
An automated method for quantifying syntactic complexity of spontaneous speech in Primary Progressive Aphasia Open
Background Reduced syntactic complexity is the predominant linguistic impairment unique to the nonfluent agrammatic variant of PPA (naPPA). Reliable, objective and automatic methods for assessing syntactic complexity are currently lacking.…
View article: Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children
Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children Open
Engaging in fluent conversation is a surprisingly complex task that requires interactantsto promptly respond to each other in a way that is appropriate to the social context. Inthis study, we disentangled different dimensions of turn-takin…
View article: Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children
Social Context Matters for Turn-Taking Dynamics: A Comparative Study of Autistic and Typically Developing Children Open
Engaging in fluent conversation is a surprisingly complex task that requires interactantsto promptly respond to each other in a way that is appropriate to the social context. Inthis study, we disentangled different dimensions of turn-takin…
View article: Speech markers of depression dimensions across cognitive status
Speech markers of depression dimensions across cognitive status Open
Introduction Depression and its components significantly impact dementia prediction and severity, necessitating reliable objective measures for quantification. Methods We investigated associations between emotion‐based speech measures (val…
View article: Automatic classification of AD pathology in FTD phenotypes using natural speech
Automatic classification of AD pathology in FTD phenotypes using natural speech Open
INTRODUCTION Screening for Alzheimer's disease neuropathologic change (ADNC) in individuals with atypical presentations is challenging but essential for clinical management. We trained automatic speech‐based classifiers to distinguish fron…
View article: Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration
Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration Open
Using automatic processing pipelines, we identified early changes in the natural speech of FTD pathogenic variant carriers in the presymptomatic stage. These findings highlight the potential utility of natural speech as a digital clinical …
View article: Digital markers of motor speech impairments in spontaneous speech of patients with ALS-FTD spectrum disorders
Digital markers of motor speech impairments in spontaneous speech of patients with ALS-FTD spectrum disorders Open
Automatic vowel measures are easily derived from a brief spontaneous speech sample, are sensitive to mild-moderate stage of bulbar disease in ALS-FTSD, and may present better sensitivity to bulbar impairment compared to traditional assessm…
View article: Automated lexical analysis of story recall in healthy controls
Automated lexical analysis of story recall in healthy controls Open
Background Impaired episodic memory is one of the earliest and most prominent symptoms of Alzheimer’s disease (AD). Examining how patients produce words and phrases in story recall tasks is useful for tracking and understanding progression…
View article: Automated analysis of letter fluency data produced by Korean and American patients with AD and MCI
Automated analysis of letter fluency data produced by Korean and American patients with AD and MCI Open
Background Letter fluency task measures executive functioning and working memory in clinical settings. Previous studies have shown that both the total number of correct responses and lexical characteristics of produced words are informativ…
View article: Speech markers of depression dimensions across the spectrum of cognitive functions
Speech markers of depression dimensions across the spectrum of cognitive functions Open
Background Depression is a common among patients with cognitive impairment and encompass different dimensions, which may vary in their association with cognitive outcomes and biological substrates. Previous studies have shown a shift towar…
View article: Automatic classification of underlying AD vs. FTLD pathology in people with clinical Frontotemporal Dementia using digital speech markers
Automatic classification of underlying AD vs. FTLD pathology in people with clinical Frontotemporal Dementia using digital speech markers Open
Background Recent studies show promising results using speech features to automatically distinguish patients with amnestic Alzheimer’s disease (AD) from healthy controls (HC). However these studies exclude atypical presentations of AD, whi…
View article: Comparison of category and letter fluency tasks through automated analysis
Comparison of category and letter fluency tasks through automated analysis Open
Introduction Category and letter fluency tasks are commonly used neuropsychological tasks to evaluate lexical retrieval. Methods This study used validated automated methods, which allow for more expansive investigation, to analyze speech p…
View article: Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism
Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism Open
Social interaction quality ratings derived from short natural conversations can differentiate children with and without autism at the group level. In this work, we explored conversations between children and an unfamiliar adult who rated t…
View article: Improved POS tagging for spontaneous, clinical speech using data augmentation
Improved POS tagging for spontaneous, clinical speech using data augmentation Open
This paper addresses the problem of improving POS tagging of transcripts of speech from clinical populations. In contrast to prior work on parsing and POS tagging of transcribed speech, we do not make use of an in domain treebank for train…
View article: Application of advanced language technologies in analysis of category naming fluency task in healthy participants
Application of advanced language technologies in analysis of category naming fluency task in healthy participants Open
Background Category naming fluency tasks have been used frequently to measure patients’ working memory and executive functions. Previous studies show that differences in scores in this task could reflect features of neurodegenerative disea…
View article: Digital markers of motor speech impairments in natural speech of patients with ALS-FTD spectrum disorders
Digital markers of motor speech impairments in natural speech of patients with ALS-FTD spectrum disorders Open
Background and objectives Patients with ALS-FTD spectrum disorders (ALS-FTSD) have mixed motor and cognitive impairments and require valid and quantitative assessment tools to support diagnosis and tracking of bulbar motor disease. This st…
View article: Latent Factors of Language Disturbance and Relationships to Quantitative Speech Features
Latent Factors of Language Disturbance and Relationships to Quantitative Speech Features Open
Background and Hypothesis Quantitative acoustic and textual measures derived from speech (“speech features”) may provide valuable biomarkers for psychiatric disorders, particularly schizophrenia spectrum disorders (SSD). We sought to ident…
View article: Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology
Lexical and Acoustic Speech Features Relating to Alzheimer Disease Pathology Open
Our measures captured language and speech differences between the 2 phenotypes that traditional language-based clinical assessments failed to identify. This work demonstrates the potential of natural speech in reflecting underlying variant…