Work

A review of depression and suicide risk assessment using speech analysis

Year: 2015

Type: article

Source: Speech Communication

DOI: 10.1016/j.specom.2015.03.004

Authors: Nicholas Cummins, Stefan Scherer, Jarek Krajewski, Sebastian Schnieder, Julien Epps, Thomas F. Quatieri

Institutions: UNSW Sydney, Data61, University of Southern California, USC Institute for Creative Technologies, University of Wuppertal, MIT Lincoln Laboratory

Language: English

Topic: Emotion and Mood Recognition

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National ICT Australia, Deutsche Forschungsgemeinschaft, Australian Research Council

Awards: G2130252556, Joint modelling and recognition of linguistic and paralinguistic speech information, G5863651057

OpenAlex ID: W2003502731

FWCI: 28.93

Cites: 309

Cited by: 1,075

Related to: 10