Knowledge Commons of Institute of Automation,CAS
Automatic Depression Level Detection via lp-norm Pooling | |
Mingyue Niu; Jianhua Tao; Bin Liu; Cunhang Fan | |
2019 | |
会议名称 | Conference of the International Speech Communication Association |
会议日期 | 2019-9 |
会议地点 | 奥地利格拉茨 |
摘要 | Related physiological studies have shown that Mel-frequency cepstral coefficient (MFCC) is a discriminative acoustic feature for depression detection. This fact has led to some works using MFCCs to identify individual depression degree. However, they rarely adopt neural network to capture high-level feature associated with depression detection. And the suitable feature pooling parameter for depression detection has not been optimized. For these reasons, we propose a hybrid network and lp-norm pooling combined with least absolute shrinkage and selection operator (LASSO) to improve the accuracy of depression detection. Firstly, the MFCCs of the original speech are divided into many segments. Then, we extract the segment-level feature using the proposed hybrid network, which investigates the depression-related information in the spatial structure, temporal changes and discriminative representation of short-term MFCC segments. Thirdly, lp-norm pooling combined with LASSO is adopted to find the optimal pooling parameter for depression detection to generate the utterance-level feature. Finally, depression level prediction is accomplished using support vector regression (SVR). Experiments are conducted on AVEC2013 and AVEC2014. The results demonstrate that our proposed method achieves better performance than the previous algorithms. |
收录类别 | EI |
七大方向——子方向分类 | 多模态智能 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44404 |
专题 | 多模态人工智能系统全国重点实验室_智能交互 |
通讯作者 | Mingyue Niu |
作者单位 | 1.National Laboratory of Pattern Recognition, CASIA, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Mingyue Niu,Jianhua Tao,Bin Liu,et al. Automatic Depression Level Detection via lp-norm Pooling[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Automatic depression(403KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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