An Automatic Depression Recognition Method from Spontaneous Pronunciation Using Machine Learning

Author:

Du Minghao1ORCID,Zhang Wenquan1ORCID,Wang Tao1ORCID,Liu Shuang1ORCID,Ming Dong1ORCID

Affiliation:

1. Academy of Medical Engineering and Translational Medicine, Tianjin University, China

Funder

General Program of Tianjin, China

National Natural Science Foundation of China

Publisher

ACM

Reference21 articles.

1. Maria Semkovska . 2021. Cognitive function and neurocognitive deficits in depression. The Neuroscience of Depression. (March 2021 ). 361-371. https://doi.org/10.1016/B978-0-12-817935-2.00021-0 10.1016/B978-0-12-817935-2.00021-0 Maria Semkovska. 2021. Cognitive function and neurocognitive deficits in depression. The Neuroscience of Depression. (March 2021). 361-371. https://doi.org/10.1016/B978-0-12-817935-2.00021-0

2. Global Health Data Exchange (GHDx). Institute of Health Metrics and Evaluation. Retrieved May 1, 2021 from http://ghdx.healthdata.org/gbd-results-tool?params=gbd-api-2019-permalink/d780dffbe8a381b25e1416884959e88b Global Health Data Exchange (GHDx). Institute of Health Metrics and Evaluation. Retrieved May 1, 2021 from http://ghdx.healthdata.org/gbd-results-tool?params=gbd-api-2019-permalink/d780dffbe8a381b25e1416884959e88b

3. Ishara Madhavi , Sadil Chamishka , Rashmika Nawaratne , Vishaka Nanayakkara , Damminda Alahakoon , and Daswin De Silva . 2020 . A Deep Learning Approach for Work Related Stress Detection from Audio Streams in Cyber Physical Environments . In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE , Vienna, Austria, 929–936. https://doi.org/10.1109/ETFA46521. 2020.9212098 10.1109/ETFA46521.2020.9212098 Ishara Madhavi, Sadil Chamishka, Rashmika Nawaratne, Vishaka Nanayakkara, Damminda Alahakoon, and Daswin De Silva. 2020. A Deep Learning Approach for Work Related Stress Detection from Audio Streams in Cyber Physical Environments. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, Vienna, Austria, 929–936. https://doi.org/10.1109/ETFA46521.2020.9212098

4. T. Jannini , L. Longo , F. Marasco , M. Di Civita , C. Niolu , A. Siracusano , and G. Di Lorenzo . 2021. Cognitive function and metabolic syndrome in unipolar and bipolar depression: A pilot study. European Psychiatry. 64. S1(April 2021 ). S82–S82. https://doi.org/10.1192/j.eurpsy.2021.246 10.1192/j.eurpsy.2021.246 T. Jannini, L. Longo, F. Marasco, M. Di Civita, C. Niolu, A. Siracusano, and G. Di Lorenzo. 2021. Cognitive function and metabolic syndrome in unipolar and bipolar depression: A pilot study. European Psychiatry. 64. S1(April 2021). S82–S82. https://doi.org/10.1192/j.eurpsy.2021.246

5. Nicholas Cummins , Stefan Scherer , Jarek Krajewski , Sebastian Schnieder , Julien Epps , and Thomas F . Quatieri . 2015 . A review of depression and suicide risk assessment using speech analysis. Speech communication. 71, C(July 2015). 10–49. https://doi.org/10.1016/j.specom.2015.03.004 10.1016/j.specom.2015.03.004 Nicholas Cummins, Stefan Scherer, Jarek Krajewski, Sebastian Schnieder, Julien Epps, and Thomas F. Quatieri. 2015. A review of depression and suicide risk assessment using speech analysis. Speech communication. 71, C(July 2015). 10–49. https://doi.org/10.1016/j.specom.2015.03.004

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