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Electrical Engineering and Systems Science > Audio and Speech Processing

arXiv:2202.06766 (eess)
[Submitted on 5 Feb 2022]

Title:Speech Analysis for Automatic Mania Assessment in Bipolar Disorder

Authors:Pınar Baki, Heysem Kaya, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah
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Abstract:Bipolar disorder is a mental disorder that causes periods of manic and depressive episodes. In this work, we classify recordings from Bipolar Disorder corpus that contain 7 different tasks, into hypomania, mania, and remission classes using only speech features. We perform our experiments on splitted tasks from the interviews. Best results achieved on the model trained with 6th and 7th tasks together gives 0.53 UAR (unweighted average recall) result which is higher than the baseline results of the corpus.
Comments: Conference, 5 pages, in Turkish language
Subjects: Audio and Speech Processing (eess.AS); Machine Learning (cs.LG); Sound (cs.SD)
Cite as: arXiv:2202.06766 [eess.AS]
  (or arXiv:2202.06766v1 [eess.AS] for this version)
  https://doi.org/10.48550/arXiv.2202.06766

Submission history

From: Pınar Baki [view email]
[v1] Sat, 5 Feb 2022 14:30:37 UTC (3,843 KB)
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