A systematic literature review of automatic Alzheimer's disease detection from speech and language

U Petti, S Baker, A Korhonen - Journal of the American Medical …, 2020 - academic.oup.com
Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …

Voice for health: the use of vocal biomarkers from research to clinical practice

G Fagherazzi, A Fischer, M Ismael, V Despotovic - Digital biomarkers, 2021 - karger.com
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which
can then alter an individual's voice. Therefore, voice analysis using artificial intelligence …

Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review

S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

An assessment of paralinguistic acoustic features for detection of Alzheimer's dementia in spontaneous speech

F Haider, S De La Fuente, S Luz - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …

Ten years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment: a systematic review article

I Martínez-Nicolás, TE Llorente… - Frontiers in …, 2021 - frontiersin.org
Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …

[HTML][HTML] Detection of COVID-19 from voice, cough and breathing patterns: Dataset and preliminary results

V Despotovic, M Ismael, M Cornil, R Mc Call… - Computers in Biology …, 2021 - Elsevier
COVID-19 heavily affects breathing and voice and causes symptoms that make patients'
voices distinctive, creating recognizable audio signatures. Initial studies have already …

[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: Systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …

[HTML][HTML] Evaluation of speech-based digital biomarkers: review and recommendations

J Robin, JE Harrison, LD Kaufman, F Rudzicz… - Digital …, 2020 - karger.com
Speech represents a promising novel biomarker by providing a window into brain health, as
shown by its disruption in various neurological and psychiatric diseases. As with many novel …

Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review

SA Graham, EE Lee, DV Jeste, R Van Patten… - Psychiatry …, 2020 - Elsevier
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection
of pathological cognitive decline facilitates the greatest impact of restorative or preventative …

Correlating natural language processing and automated speech analysis with clinician assessment to quantify speech-language changes in mild cognitive impairment …

A Yeung, A Iaboni, E Rochon, M Lavoie… - Alzheimer's research & …, 2021 - Springer
Background Language impairment is an important marker of neurodegenerative disorders.
Despite this, there is no universal system of terminology used to describe these impairments …