Estimating symptoms and clinical signs instead of disorders: the path toward the clinical use of voice and speech biomarkers in psychiatry

VP Martin, JL Rouas - ICASSP 2024-2024 IEEE International …, 2024 - ieeexplore.ieee.org
Despite the continuous innovation in voice biomarkers domain for more than a decade and
the apparent need for clinicians to have objective diagnostic tools, no device has yet been …

Why Voice Biomarkers of Psychiatric Disorders Are Not Used in Clinical Practice? Deconstructing the Myth of the Need for Objective Diagnosis

VP Martin, JL Rouas - Proceedings of the 2024 Joint International …, 2024 - aclanthology.org
Given the high prevalence of mental disorders and the significant diagnostic delays and
difficulties in patient follow-up, voice biomarkers hold the promise of improving access to …

Detection of major depressive disorder using vocal acoustic analysis and machine learning

CW Espinola, JC Gomes, JMS Pereira, WP dos Santos - medRxiv, 2020 - medrxiv.org
Purpose Diagnosis and treatment in psychiatry are still highly dependent on reports from
patients and on clinician judgement. This fact makes them prone to memory and subjectivity …

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 …

Voice signal features analysis and classification: looking for new diseases related parameters

G Tradigo, B Calabrese, M Macrí, E Vocaturo… - Proceedings of the 6th …, 2015 - dl.acm.org
Dysphonia is an often-underestimated vocal tract problem caused by irregular vocal cords
vibration. It has been proved that dysphonia can be considered as a symptom of vocal tract …

Detection of major depressive disorder using vocal acoustic analysis and machine learning—an exploratory study

CW Espinola, JC Gomes, JMS Pereira… - Research on Biomedical …, 2021 - Springer
Purpose Diagnosis and treatment in psychiatry are still highly dependent on reports from
patients and on clinician judgment. This fact makes them prone to memory and subjectivity …

Automatic Voice Disorder Detection from a Practical Perspective

J Vidal, D Ribas, C Bonomi, E Lleida, L Ferrer… - Journal of Voice, 2024 - Elsevier
Voice disorders, such as dysphonia, are common among the general population. These
pathologies often remain untreated until they reach a high level of severity. Assisting the …

Voice analysis for neurological disorder recognition–a systematic review and perspective on emerging trends

P Hecker, N Steckhan, F Eyben, BW Schuller… - Frontiers in Digital …, 2022 - frontiersin.org
Quantifying neurological disorders from voice is a rapidly growing field of research and
holds promise for unobtrusive and large-scale disorder monitoring. The data recording setup …

Automated voice biomarkers for depression symptoms using an online cross‐sectional data collection initiative

L Zhang, R Duvvuri, KKL Chandra… - Depression and …, 2020 - Wiley Online Library
Importance Depression is an illness affecting a large percentage of the world's population
throughout the lifetime. To date, there is no available biomarker for depression detection and …

Introduction to the issue on automatic assessment of health disorders based on voice, speech, and language processing

JI Godino-Llorente, D O'Shaughnessy, T Lee… - IEEE Journal of …, 2020 - flore.unifi.it
This special issue is expected to contribute to make this field more open and visible to
speech and signal processing experts, presenting the state of the art and the potentiality of …