A Lightweight Machine Learning Approach to Detect Depression from Speech Analysis
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)(2021)
摘要
The growing number of people suffering from depression makes it increasingly necessary to find new approaches able to support medical experts in its diagnosis. The early detection of depressive symptoms is crucial in limiting the co-occurrence of associated behavioural disorders such as psycho-motor retardation symptoms and social withdrawal. Therefore, automatic detection systems represent promis...
更多查看译文
关键词
Speech analysis,Sensitivity,Databases,Medical services,Depression,Feature extraction,Reliability engineering
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要