Why Voice Biomarkers of Psychiatric Disorders are not used in Clinical Practice? Deconstructing the Myth of the Need for Objective Diagnoses
dc.rights.license | open | en_US |
hal.structure.identifier | Sommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY] | |
dc.contributor.author | MARTIN, Vincent P. | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | ROUAS, Jean-Luc | |
dc.date.accessioned | 2025-03-26T09:19:12Z | |
dc.date.available | 2025-03-26T09:19:12Z | |
dc.date.issued | 2024 | |
dc.date.conference | 2024-05-20 | |
dc.identifier.isbn | 978-2-493814-10-4 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/205688 | |
dc.description.abstractEn | 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. | |
dc.description.sponsorship | Health, behaviors and autonomous digital technologies - ANR-22-PESN-0009 | en_US |
dc.description.sponsorship | Santé Numérique en Société - ANR-22-PESN-0004 | en_US |
dc.language.iso | EN | en_US |
dc.rights | Attribution-NonCommercial 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/us/ | * |
dc.subject.en | Biomarkers | |
dc.subject.en | Machine Learning | |
dc.subject.en | Mental Health | |
dc.subject.en | Diagnosis | |
dc.subject.en | Clinical Research | |
dc.subject.en | Paradigm Shifts | |
dc.subject.en | Access To Care | |
dc.subject.en | Clinical Practices | |
dc.subject.en | Corpus Labeling | |
dc.subject.en | Follow Up | |
dc.subject.en | Labelings | |
dc.subject.en | Objective Diagnosis | |
dc.subject.en | Psychiatric Disorders | |
dc.subject.en | Speech Processing | |
dc.subject.en | Voice Biomarker | |
dc.title.en | Why Voice Biomarkers of Psychiatric Disorders are not used in Clinical Practice? Deconstructing the Myth of the Need for Objective Diagnoses | |
dc.type | Communication dans un congrès | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] | en_US |
bordeaux.page | 17603 – 17613 | en_US |
bordeaux.hal.laboratories | SANPSY (Sommeil, Addiction, Neuropsychiatrie) - UMR 6033 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | CNRS | en_US |
bordeaux.conference.title | 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) | en_US |
bordeaux.country | it | en_US |
bordeaux.conference.city | Turin | en_US |
bordeaux.identifier.funderID | HORIZON EUROPE Innovative Europe | en_US |
hal.proceedings | oui | en_US |
hal.conference.organizer | ELRA Language Resources Association | en_US |
hal.conference.organizer | International Committee on Computational Linguistics (ICCL) | en_US |
hal.conference.end | 2024-05-25 | |
hal.popular | non | en_US |
hal.audience | Internationale | en_US |
hal.export | false | |
dc.rights.cc | CC BY-NC | en_US |
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