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Prototype development of speech depression prediction system using TensorFlow lite on edge computing

Depression, a significant contributor to global suicide rates, poses unique diagnostic challenges in traditional clinical settings, resulting in frequently delayed diagnoses and potential patient misrepresentation. To address this issue, we presented an innovative prototype that combines edge comput...

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Bibliographic Details
Main Authors: Gunawan, Teddy Surya, Ibrahim, Nur Firzanah Iwani, Kartiwi, Mira, Ismail, Nanang
Format: Proceeding Paper
Language:English
English
Published: IEEE 2023
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/109827/7/109827_Prototype%20development%20of%20speech%20depression.pdf
http://irep.iium.edu.my/109827/13/109827_Prototype%20development%20of%20speech%20depression_SCOPUS.pdf
http://irep.iium.edu.my/109827/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10335415
https://doi.org/10.1109/ICWT58823.2023.10335415
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Internet

http://irep.iium.edu.my/109827/7/109827_Prototype%20development%20of%20speech%20depression.pdf
http://irep.iium.edu.my/109827/13/109827_Prototype%20development%20of%20speech%20depression_SCOPUS.pdf
http://irep.iium.edu.my/109827/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10335415
https://doi.org/10.1109/ICWT58823.2023.10335415

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