A review of speaker diarization: Recent advances with deep learning

TJ Park, N Kanda, D Dimitriadis, KJ Han… - Computer Speech & …, 2022 - Elsevier
Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …

Artificial intelligence for suicide assessment using Audiovisual Cues: a review

S Dhelim, L Chen, H Ning, C Nugent - Artificial Intelligence Review, 2023 - Springer
Death by suicide is the seventh leading death cause worldwide. The recent advancement in
Artificial Intelligence (AI), specifically AI applications in image and voice processing, has …

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones

A Pillai, SK Nepal, W Wang, M Nemesure… - Proceedings of the …, 2024 - dl.acm.org
Speech-based diaries from mobile phones can capture paralinguistic patterns that help
detect mental illness symptoms such as suicidal ideation. However, previous studies have …

[HTML][HTML] Acoustic and language analysis of speech for suicidal ideation among US veterans

A Belouali, S Gupta, V Sourirajan, J Yu, N Allen… - BioData mining, 2021 - Springer
Background Screening for suicidal ideation in high-risk groups such as US veterans is
crucial for early detection and suicide prevention. Currently, screening is based on clinical …

[HTML][HTML] Integration and validation of a natural language processing machine learning suicide risk prediction model based on open-ended interview language in the …

J Cohen, J Wright-Berryman, L Rohlfs… - Frontiers in digital …, 2022 - frontiersin.org
Background Emergency departments (ED) are an important intercept point for identifying
suicide risk and connecting patients to care, however, more innovative, person-centered …

[HTML][HTML] Speech recognition can help evaluate shared decision making and predict medication adherence in primary care setting

M Topaz, M Zolnoori, AA Norful, A Perrier, Z Kostic… - Plos one, 2022 - journals.plos.org
Objective Asthma is a common chronic illness affecting 19 million US adults. Inhaled
corticosteroids are a safe and effective treatment for asthma, yet, medication adherence …

Towards real-time multimodal emotion recognition among couples

G Boateng - Proceedings of the 2020 International Conference on …, 2020 - dl.acm.org
Researchers are interested in understanding the emotions of couples as it relates to
relationship quality and dyadic management of chronic diseases. Currently, the process of …

[HTML][HTML] Validating biobehavioral technologies for use in clinical psychiatry

AS Cohen, CR Cox, RP Tucker, KR Mitchell… - Frontiers in …, 2021 - frontiersin.org
The last decade has witnessed the development of sophisticated biobehavioral and genetic,
ambulatory, and other measures that promise unprecedented insight into psychiatric …

[HTML][HTML] Is auto-generated transcript of patient-nurse communication ready to use for identifying the risk for hospitalizations or emergency department visits in home …

J Song, M Zolnoori, D Scharp, S Vergez… - AMIA Annual …, 2022 - ncbi.nlm.nih.gov
Home healthcare (HHC), which is defined as skilled healthcare that is provided to an
individual in their own home environment, is one of the fastest-growing segments of the …

" Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data

G Boateng, X Zhao, M Speichert, E Fleisch… - arXiv preprint arXiv …, 2022 - arxiv.org
Couples generally manage chronic diseases together and the management takes an
emotional toll on both patients and their romantic partners. Consequently, recognizing the …