Entrust

output

20192025

most citedMFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

264 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

A. Francesconi1 · h 3
Ali Komaty1 · h 7
A. Othmani1 · h 21
Daoyuan Wu1 · h 14
Donato Cappetta1 · h 2
Emna Rejaibi1 · h 3
F. Mériaudeau1 · h 48
F. Rebecchi1 · h 1
Lazzaro di Biase1
Miaolei Shi1 · h 2
P. Soda1 · h 31
R. Sicilia1 · h 15

collaborating institutions

Arts, Sciences and Technology University in LebanonLB1 paper
Campus Bio Medico University HospitalIT1 paper
Hong Kong University of Science and TechnologyHK1 paper
Nanyang Technological UniversitySG1 paper
National Institute of Applied Science and TechnologyTN1 paper
National University of Sciences and TechnologyPK1 paper
Paris-Est SupFR1 paper
Singapore Management UniversitySG1 paper
Università Campus Bio-MedicoIT1 paper
Université Bourgogne Franche-ComtéFR1 paper
Université de BourgogneFR1 paper
Université Paris-Est CréteilFR1 paper

Showing 2019 · cs.HCShow all

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cs.HC2019★ 264 cited

MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau +2

Clinical depression or Major Depressive Disorder (MDD) is a common and serious medical illness. In this paper, a deep recurrent neural network-based framework is presented to detec…