Spoken language biomarkers for detecting cognitive impairment
In this study we developed an automated system that evaluates speech and language
features from audio recordings of neuropsychological examinations of 92 subjects in the …
features from audio recordings of neuropsychological examinations of 92 subjects in the …
A multi-modal array of interpretable features to evaluate language and speech patterns in different neurological disorders
Speech-based automatic approaches for evaluating neurological disorders (NDs) depend
on feature extraction before the classification pipeline. It is preferable for these features to be …
on feature extraction before the classification pipeline. It is preferable for these features to be …
A comparison of syntax, semantics, and pragmatics in spoken language among residents with Alzheimer's disease in managed-care facilities
C Guinn, B Singer, A Habash - 2014 IEEE Symposium on …, 2014 - ieeexplore.ieee.org
This research is a discriminative analysis of conversational dialogues involving individuals
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …
A review of automated speech and language features for assessment of cognitive and thought disorders
It is widely accepted that information derived from analyzing speech (the acoustic signal)
and language production (words and sentences) serves as a useful window into the health …
and language production (words and sentences) serves as a useful window into the health …
Exploring language-agnostic speech representations using domain knowledge for detecting alzheimer's dementia
We explore ways to use speech data to screen for indications of Alzheimer's dementia (AD).
In particular, we describe our approach to the ICASSP 2023 Signal Processing Grand …
In particular, we describe our approach to the ICASSP 2023 Signal Processing Grand …
Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction
C Fang, P Janwattanapong, H Martin… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Typically, neuropsychological testing helps medical experts situate a given patient in
continuum of the Alzheimer's disease (AD) spectrum, especially in the continuum between …
continuum of the Alzheimer's disease (AD) spectrum, especially in the continuum between …
Vocal markers of motor, cognitive, and depressive symptoms in Parkinson's disease
KM Smith, JR Williamson… - … Conference on Affective …, 2017 - ieeexplore.ieee.org
Patients with Parkinson's disease (PD) often suffer from cognitive impairment and
depression in addition to motor dysfunction. These non-motor symptoms may be challenging …
depression in addition to motor dysfunction. These non-motor symptoms may be challenging …
[HTML][HTML] Association between acoustic features and neuropsychological test performance in the Framingham heart study: Observational study
Background Human voice has increasingly been recognized as an effective indicator for the
detection of cognitive disorders. However, the association of acoustic features with specific …
detection of cognitive disorders. However, the association of acoustic features with specific …
Cognitive digital biomarkers from automated transcription of spoken language
Abstract Background Although patients with Alzheimer's disease and other cognitive-related
neurodegenerative disorders may benefit from early detection, development of a reliable …
neurodegenerative disorders may benefit from early detection, development of a reliable …
Multilingual alzheimer's dementia recognition through spontaneous speech: a signal processing grand challenge
This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction
problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia …
problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia …