Machine Learning Applied to Speech Emotion Analysis for Depression Recognition
Author:
Affiliation:
1. Mangalore Institute of Technology & Engineering,Department of Electronics & Communication & Engg,Moodbidri,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10079844/10079947/10080060.pdf?arnumber=10080060
Reference18 articles.
1. An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification
2. Attention based convolutional neural network and long short-term memory for short-term detection of mood disorders based on elicited speech responses;huang chung-hsien wu;Pattern recognition Department of Computer Science and Information Science Engg,2019
3. End-to-End Speech Emotion Recognition Using Deep Neural Networks
4. AN INITIATIVE TO IDENTIFY DEPRESSION USING SENTIMENT ANALYSIS: A MACHINE LEARNING APPROACH
5. A Real-time Emotion Recognition from Speech using Gradient Boosting
Cited by 1 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 the novel SwinEmoNet (Shifted Window Transformer Emotion Network);International Journal of Speech Technology;2024-07-10
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