Early prediction of major depression in adolescents using glottal wave characteristics and Teager Energy parameters

Author:

Ooi Kuan Ee Brian,Low Lu-Shih Alex,Lech Margaret,Allen Nicholas

Publisher

IEEE

Cited by 15 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. Speech Emotion Recognition using Spectral Images and Convolutional Neural Network;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

2. Deep Learning Based Emotion Classification Using Mel Frequency Magnitude Coefficient;2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP);2023-03-04

3. Depression detection based on linear and nonlinear speech features in I-vector/SVDA framework;Computers in Biology and Medicine;2022-10

4. Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text;International Journal of Neural Systems;2022-08-26

5. Speaker Adversarial Neural Network (SANN) for Speaker-independent Speech Emotion Recognition;Circuits, Systems, and Signal Processing;2022-06-13

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