Automatic Detection of Depression in Speech Using Ensemble Convolutional Neural Networks

This paper proposes a speech-based method for automatic depression classification. The system is based on ensemble learning for Convolutional Neural Networks (CNNs) and is evaluated using the data and the experimental protocol provided in the Depression Classification Sub-Challenge (DCC) at the 2016...

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Detalles Bibliográficos
Autores principales: Vázquez-Romero, Adrián, Gallardo-Antolín, Ascensión
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517226/
https://www.ncbi.nlm.nih.gov/pubmed/33286460
http://dx.doi.org/10.3390/e22060688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517226/
https://www.ncbi.nlm.nih.gov/pubmed/33286460
http://dx.doi.org/10.3390/e22060688

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