English
norskBlar i forfatter "Diaz-Asper, Catherine"
Viser treff 1-7 av 7
-
Acceptability of collecting speech samples from the elderly via the telephone
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-04-17)<i>Objective</i> - There is a critical need to develop rapid, inexpensive and easily accessible screening tools for mild cognitive impairment (MCI) and Alzheimer’s disease (AD). We report on the efficacy of collecting speech via the telephone to subsequently develop sensitive metrics that may be used as potential biomarkers by leveraging natural language processing methods.<br><br> <i>Methods</i> ... -
Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-08-30)Barriers to healthcare access are widespread in elderly populations, with a major consequence that older people are not benefiting from the latest technologies to diagnose disease. Recent advances in the automated analysis of speech show promising results in the identification of cognitive decline associated with Alzheimer's disease (AD), as well as its purported pre-clinical stage. We utilized ... -
Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-22)Modern advances in computational language processing methods have enabled new approaches to the measurement of mental processes. However, the field has primarily focused on model accuracy in predicting performance on a task or a diagnostic category. Instead the field should be more focused on determining which computational analyses align best with the targeted neurocognitive/psychological functions ... -
Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-22)Modern advances in computational language processing methods have enabled new approaches to the measurement of mental processes. However, the field has primarily focused on model accuracy in predicting performance on a task or a diagnostic category. Instead the field should be more focused on determining which computational analyses align best with the targeted neurocognitive/psychological functions ... -
Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-22)Modern advances in computational language processing methods have enabled new approaches to the measurement of mental processes. However, the field has primarily focused on model accuracy in predicting performance on a task or a diagnostic category. Instead the field should be more focused on determining which computational analyses align best with the targeted neurocognitive/psychological functions ... -
Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-10)Incoherent speech in schizophrenia has long been described as the mind making “leaps” of large distances between thoughts and ideas. Such a view seems intuitive, and for almost two decades, attempts to operationalize these conceptual “leaps” in spoken word meanings have used language-based embedding spaces. An embedding space represents meaning of words as numerical vectors where a greater proximity ... -
Using automated syllable counting to detect missing information in speech transcripts from clinical settings
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-05)Speech rate and quantity reflect clinical state; thus automated transcription holds potential clinical applications. We describe two datasets where recording quality and speaker characteristics affected transcription accuracy. Transcripts of low-quality recordings omitted significant portions of speech. An automated syllable counter estimated actual speech output and quantified the amount of ...
