MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech - Université Paris-Est-Créteil-Val-de-Marne
Journal Articles Biomedical Signal Processing and Control Year : 2022

MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech

Emna Rejaibi
  • Function : Author
Ali Komaty
  • Function : Author
Fabrice Meriaudeau
Said Agrebi
  • Function : Author
Fichier principal
Vignette du fichier
S1746809421007047.pdf (561.5 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04317257 , version 1 (22-07-2024)

Licence

Identifiers

Cite

Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau, Said Agrebi, Alice Othmani. MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech. Biomedical Signal Processing and Control, 2022, 71, pp.103107. ⟨10.1016/j.bspc.2021.103107⟩. ⟨hal-04317257⟩

Collections

LISSI UPEC
21 View
12 Download

Altmetric

Share

More