Work

Network of acoustic characteristics for the automatic detection of suicide risk from speech. Contribution to the 2025 SpeechWellness challenge by the Semawave team

Year: 2025

Type: conference-paper

Abstract: International audience

Source: Interspeech (USB)

DOI: 10.21437/interspeech.2025-599

Authors: Vincent P. Martin, Charles Brazier, Maxime Amblard, Michel Musiol, Jean-Luc Rouas

Institutions: SEMAGRAMME: Analyse Sémantique de la Langue, Laboratoire Bordelais de Recherche en Informatique

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Agence Nationale de la Recherche

Award: Health, behaviors and autonomous digital technologies

OpenAlex ID: W4415067572

FWCI: 1.894

Cites:

Cited by: 1

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