Quantization of speech disorganization for PTSD and speech disorders detection - UNICANCER Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

Quantization of speech disorganization for PTSD and speech disorders detection

Résumé

Psycholinguistic literature shows that Post-Traumatic Stress Disorder (PTSD) and its specific criteria as stated in the DSM-5 affect language. We aim to analyze these effects using automated methods while keeping interpretability, to quantify them and their importance. However, automatic PTSD detection is an open problem, with NLP-based approaches being even rarer. With psychiatrists often having interviews with the patient, the problem itself of detecting PTSD from a single discourse without interaction is a complex one and gold standard tests have only 80% accuracy in doing so. In this study, we propose an approach, focusing on speech disorganization effects only and their association with PTSD. Our method, based on sentence similarity, used state- of-the-art models to underline speech organization in transcribed discourse. Using such representation allowed us to create features inferred from the way psychiatrists read texts. On the 13-November Cohorts, our method reached accuracy comparable to human standards for our dataset, both in PTSD prediction and Criterion D (negative alterations in cognitions and mood) detection. According to the literature, criterion D is the most related to speech organization. We also added a second contribution to our work: a method extracting parts of texts that contain the speech disorder phenomenon.
Fichier principal
Vignette du fichier
2024_JADT_PTSD.pdf (778.37 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
licence

Dates et versions

hal-04627800 , version 1 (27-06-2024)

Licence

Identifiants

  • HAL Id : hal-04627800 , version 1

Citer

Samuel Boccara, Salma Mesmoudi, Jacques Dayan, Robin Quillivic. Quantization of speech disorganization for PTSD and speech disorders detection. JADT 2024, LesL, Jun 2024, Bruxelles, Belgium. pp.ISBN : 978-2-39061-471-5. ⟨hal-04627800⟩
0 Consultations
0 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More