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INFERRING CLINICAL DEPRESSION FROM SPEECH AND SPOKEN UTTERANCES

In this paper, we investigate the problem of detecting depression from recordings of subjects’ speech using speech processing and machine learning. There has been considerable interest in this problem in recent years due to the potential for developing objective assessments from real-world behaviors...

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Détails bibliographiques
Publié dans:IEEE Int Workshop Mach Learn Signal Process
Auteurs principaux: Asgari, Meysam, Shafran, Izhak, Sheeber, Lisa B.
Format: Artigo
Langue:Inglês
Publié: 2014
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7719299/
https://ncbi.nlm.nih.gov/pubmed/33288990
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/mlsp.2014.6958856
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