Daily Sound Recognition for Elderly People Using Ensemble Methods

摘要：

　　This paper presents our investigations on automatic daily sound recognition using ensemble methods.Two benchmark datasets RWCP-DB and Sound Dataset are utilized for this purpose.A set of acoustic features for daily sound recognition is identified and used.First,sound classification is carried out using individual classifiers on both datasets.As the classification accuracy comes out lower with base classifiers as compared to the results reported in literature,ensemble methods are then employed for classification task.The ensemble methods prove to be effective and robust in recognizing daily sounds as they yield high recognition rates.The classification accuracies achieved by our proposed setup of ensemble methods are higher than those mentioned in literature for the two daily sound datasets.

关键词： Elder care ensemble methods daily sound recognition acoustic features

作者: Arslan Shaukat Muhammad Ahsan Ali Hassan Farhan Riaz

作者单位: Department of Computer Engineering,College of Electrical and Mechanical Engineering National University of Sciences and Technology(NUST)Islamabad,Pakistan

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 427-432

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）