MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech
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Computer Science [cs]| Origin | Files produced by the author(s) |
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Journal Articles
Biomedical Signal Processing and Control
Year : 2022
Accord Elsevier CCSD : Connect in order to contact the contributor
https://hal.u-pec.fr/hal-04317257
Submitted on : Monday, July 22, 2024-3:10:31 PM
Last modification on : Monday, September 9, 2024-3:56:48 PM
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- HAL Id : hal-04317257 , version 1
- ARXIV : 1909.07208
- DOI : 10.1016/j.bspc.2021.103107
- PII : S1746-8094(21)00704-7
Cite
Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau, Said Agrebi, Alice Othmani. MFCC-based Recurrent Neural Network for automatic clinical depression recognition and assessment from speech. Biomedical Signal Processing and Control, 2022, 71, pp.103107. ⟨10.1016/j.bspc.2021.103107⟩. ⟨hal-04317257⟩
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