Feature selection and classification of speech under long-term stress

Bin Hu*, Zhenyu Liu, Lihua Yan, Tianyang Wang, Fei Liu, Xiaoyu Li, Huanyu Kang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Many studies were proposed to discuss acoustic correlates of stress in recent years. Considering some inconsistent experiment results, we supposed that stress should be categorized into long-term and short-term stress in this topic, and the trend of short-term stress induced by workload may be affected by long-term stress. This study contains three parts: first, we proposed an acoustic feature set chosen by feature selection, which can be considered as a measurement of the level of long-term stress; second, we showed that this set is immune to short-term stress in stress classification tests; finally, we observed some particular voice features mentioned in previous researches in our experiment and the results may imply that short-term stress trend is in connection with the level of long-term stress. In short, long-term and shot-term stress should be discussed separately in future researches for clear and explicit conclusions.

源语言英语
主期刊名Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
编辑lng. Matthieu Schapranow, Jiayu Zhou, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Satoru Miyano, Illhoi Yoo, Brian Pierce, Amarda Shehu, Vijay K. Gombar, Brian Chen, Vinay Pai, Jun Huan
出版商Institute of Electrical and Electronics Engineers Inc.
904-910
页数7
ISBN(电子版)9781467367981
DOI
出版状态已出版 - 16 12月 2015
已对外发布
活动IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 - Washington, 美国
期限: 9 11月 201512 11月 2015

出版系列

姓名Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015

会议

会议IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
国家/地区美国
Washington
时期9/11/1512/11/15

引用此