MARTIN, Vincent P.; ROUAS, Jean-Luc

MARTIN, Vincent P.
Sommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]

ROUAS, Jean-Luc
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

Langue

Communication dans un congrès

Ce document a été publié dans

2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024-05-20, Turin. 2024p. 17603 – 17613

Résumé en anglais

Voice biomarkers hold the promise of improving access to care and therapeutic follow-up for people with psychiatric disorders, tackling the issues raised by their high prevalence and the significant diagnostic delays and difficulties in patients follow-up. Yet, despite many years of successful research in the field, none of these voice biomarkers are implemented in clinical practice. Beyond the reductive explanation of the lack of explainability of the involved machine learning systems, we look for arguments in the epistemology and sociology of psychiatry. We show that the estimation of diagnoses, the major task in the literature, is of little interest to both clinicians and patients. After tackling the common misbeliefs about diagnosis in psychiatry in a didactic way, we propose a paradigm shift towards the estimation of clinical symptoms and signs, which not only address the limitations raised against diagnosis estimation but also enable the formulation of new machine learning tasks. We hope that this paradigm shift will empower the use of vocal biomarkers in clinical practice. It is however conditional on a change in database labeling practices, but also on a profound change in the speech processing community’s practices towards psychiatry.< Réduire

Mots clés en anglais

Biomarkers

Machine Learning

Mental Health

Diagnosis

Clinical Research

Paradigm Shifts

Access To Care

Clinical Practices

Corpus Labeling

Follow Up

Labelings

Objective Diagnosis

Psychiatric Disorders

Speech Processing

Voice Biomarker

URI

https://oskar-bordeaux.fr/handle/20.500.12278/205688

Project ANR

Health, behaviors and autonomous digital technologies - ANR-22-PESN-0009
Santé Numérique en Société - ANR-22-PESN-0004

Unités de recherche

SANPSY (Sommeil, Addiction, Neuropsychiatrie) - UMR 6033

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Why Voice Biomarkers of Psychiatric Disorders are not used in Clinical Practice? Deconstructing the Myth of the Need for Objective Diagnoses