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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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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7517226/ https://ncbi.nlm.nih.gov/pubmed/33286460 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22060688 |
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