HEAR4Health: a blueprint for making computer audition a staple of modern healthcare

A Triantafyllopoulos, A Kathan, A Baird… - Frontiers in Digital …, 2023 - frontiersin.org
Recent years have seen a rapid increase in digital medicine research in an attempt to
transform traditional healthcare systems to their modern, intelligent, and versatile …

Daily mental health monitoring from speech: A real-world japanese dataset and multitask learning analysis

M Song, A Triantafyllopoulos, Z Yang… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Translating mental health recognition from clinical research into real-world application
requires extensive data, yet existing emotion datasets are impoverished in terms of daily …

Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection

A Triantafyllopoulos, A Semertzidou, M Song… - … Signal Processing and …, 2024 - Elsevier
More than two years after its outbreak, the COVID-19 pandemic continues to plague medical
systems around the world, putting a strain on scarce resources, and claiming human lives …

[PDF][PDF] The effect of clinical intervention on the speech of individuals with PTSD: features and recognition performances

A Kathan, A Triantafyllopoulos, S Amiriparian… - Proc …, 2023 - isca-archive.org
Post-traumatic stress disorder (PTSD) is an anxiety disorder that can occur as a response to
traumatic experiences, such as catastrophic events, and can have a detrimental influence on …

Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation

W Mayr, A Triantafyllopoulos, A Batliner… - … Journal of Chronic …, 2025 - Taylor & Francis
Background Chronic obstructive pulmonary disease (COPD) affects breathing, speech
production, and coughing. We evaluated a machine learning analysis of speech for …

Sustained Vowels for Pre-vs Post-Treatment COPD Classification

A Triantafyllopoulos, A Batliner, W Mayr… - arXiv preprint arXiv …, 2024 - arxiv.org
Chronic obstructive pulmonary disease (COPD) is a serious inflammatory lung disease
affecting millions of people around the world. Due to an obstructed airflow from the lungs, it …

Impact of Including Pathological Speech in Pre-training on Pathology Detection

T Weise, A Maier, KC Demir, PA Pérez-Toro… - … Conference on Text …, 2023 - Springer
Transfer learning has achieved state-of-the-art performance across many different areas,
requiring magnitudes less labeled data compared to traditional methods. Pre-trained …

[HTML][HTML] Automatic detection and severity prediction of chronic kidney disease using machine learning classifiers

J Mun, S Kim, MJ Kim, J Ryu, S Kim… - Phonetics and Speech …, 2022 - eksss.org
This paper proposes an optimal methodology for automatically diagnosing and predicting
the severity of the chronic kidney disease (CKD) using patients' utterances. In patients with …

The influence of pleasant and unpleasant odours on the acoustics of speech

M Gerczuk, A Batliner, S Amiriparian… - 2022 E-Health and …, 2022 - ieeexplore.ieee.org
Olfaction, ie, the sense of smell is referred to as the 'emotional sense', as it has been shown
to elicit affective responses. Yet, its influence on speech production has not been …

[PDF][PDF] Predicting Chronic Obstructive Pulmonary Disease Using ML and DL Approaches and Feature Fusion of X-Ray Image and Patient History

F Kabir, N Akter, MK Hasan, MT Ahmed, M Akter - researchgate.net
(COPD) is expected to become one of the top three causes of death and a leading
contributor to illness globally. Chronic Obstructive Pulmonary Disease (COPD) is a …