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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia ... Yeung, Anthony; Iaboni, Andrea; Rochon, Elizabeth. - : figshare, 2021 BASE Show details 2 Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia ... Yeung, Anthony; Iaboni, Andrea; Rochon, Elizabeth; Lavoie, Monica; Santiago, Calvin; Yancheva, Maria; Novikova, Jekaterina; Xu, Mengdan; Robin, Jessica; Kaufman, Liam D.; Mostafa, Fariya. - : figshare, 2021 Abstract: Abstract Background Language impairment is an important marker of neurodegenerative disorders. Despite this, there is no universal system of terminology used to describe these impairments and large inter-rater variability can exist between clinicians assessing language. The use of natural language processing (NLP) and automated speech analysis (ASA) is emerging as a novel and potentially more objective method to assess language in individuals with mild cognitive impairment (MCI) and Alzheimer’s dementia (AD). No studies have analyzed how variables extracted through NLP and ASA might also be correlated to language impairments identified by a clinician. Methods Audio recordings (n=30) from participants with AD, MCI, and controls were rated by clinicians for word-finding difficulty, incoherence, perseveration, and errors in speech. Speech recordings were also transcribed, and linguistic and acoustic variables were extracted through NLP and ASA. Correlations between clinician-rated speech characteristics and the ... Keyword: FOS Languages and literature; Linguistics URL: https://springernature.figshare.com/collections/Correlating_natural_language_processing_and_automated_speech_analysis_with_clinician_assessment_to_quantify_speech-language_changes_in_mild_cognitive_impairment_and_Alzheimer_s_dementia/5453879 https://dx.doi.org/10.6084/m9.figshare.c.5453879 BASE Hide details 3 Using Digital Speech Assessments to Detect Early Signs of Cognitive Impairment Robin, Jessica; Xu, Mengdan; Kaufman, Liam D.... In: Front Digit Health (2021) BASE Show details 4 Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment and Alzheimer’s dementia Yeung, Anthony; Iaboni, Andrea; Rochon, Elizabeth... In: Alzheimers Res Ther (2021) BASE Show details 5 Natural Language Processing as an Emerging Tool to Detect Late-Life Depression DeSouza, Danielle D.; Robin, Jessica; Gumus, Melisa... In: Front Psychiatry (2021) BASE Show details 6 Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech Balagopalan, Aparna; Eyre, Benjamin; Robin, Jessica... In: Front Aging Neurosci (2021) BASE Show details 7 The Primacy of Spatial Context in the Neural Representation of Events Robin, Jessica; Buchsbaum, Bradley R.; Moscovitch, Morris. - : Society for Neuroscience, 2018 BASE Show details 8 More than accuracy: Nonverbal dialects modulate the time course of vocal emotion recognition across cultures. Jiang, Xiaoming; Paulmann, Silke; Robin, Jessica. - : American Psychological Association (APA), 2015 BASE Show details

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