Using the Short-Time Fourier Transform and ResNet to Diagnose Depression from Speech Data-Reference-Cited by-同舟云学术

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Using the Short-Time Fourier Transform and ResNet to Diagnose Depression from Speech Data

Published:2021-11-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Computing (ICOCO)
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Author:

Elfaki Ayman,Asnawi Ani Liza,Jusoh Ahmad Zamani,Ismail Ahmad Fadzil,Ibrahim Siti Noorjannah,Mohamed Azmin Nor Fadhillah,Wahidah Binti Nik Hashim Nik Nur

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9673517/9673494/09673562.pdf?arnumber=9673562

Reference28 articles.

1. Studies on Paralinguistic Speech Sounds

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unveiling Social Anxiety: Analyzing Acoustic and Linguistic Traits in Impromptu Speech within a Controlled Study;ACM Journal on Computing and Sustainable Societies;2024-06-20

2. Autoencoder Based on Vmd and Mutual Information to Detect Depression from speech;Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence;2022-12-16

3. Classification of High Frequency NILM Transients Based on Convolutional Neural Networks;2022 IEEE Green Energy and Smart System Systems (IGESSC);2022-11-07

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