A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis-Reference-Cited by-同舟云学术

A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis

Published:2021-11 Issue: Volume: Page:
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Container-title:2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)
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Author:

Verde Laura,Raimo Gennaro,Vitale Federica,Carbonaro Bruno,Cordasco Gennaro,Marrone Stefano,Esposito Anna

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9643150/9643151/09643203.pdf?arnumber=9643203

Cited by 8 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. SoundMind: A Machine Learning and Web-Based Application for Depression Detection and Cure;Intelligent Systems;2023-10-06

2. Machine Learning Applied to Speech Emotion Analysis for Depression Recognition;2023 International Conference for Advancement in Technology (ICONAT);2023-01-24

3. Emotion detection for supporting depression screening;Multimedia Tools and Applications;2022-12-19

4. Speech-based Evaluation of Emotions-Depression Correlation;2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2022-09-12

5. The Role of Language in Building Automatic Models for Depression Detection;2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2022-09-12