On the optimum speech segment length for depression detection
Depression is a worldwide problem, which according to the World Health Organization, is the largest contributor to global disability. According to a study, around 18336 Malaysians are suffering from depression. Therefore, an automated system that can detect depression from human speech is needed. Th...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80387/ http://irep.iium.edu.my/80387/1/80387%20On%20the%20Optimum%20Speech%20Segment%20Length.pdf http://irep.iium.edu.my/80387/2/80387%20On%20the%20Optimum%20Speech%20Segment%20Length%20%20SCOPUS.pdf |