首页> 外文会议>International Conference for Emerging Technology >A Wavelet Based Disaggregation Approach for Unusual Audio Detection
【24h】

A Wavelet Based Disaggregation Approach for Unusual Audio Detection

机译:基于小波分解的异常音频检测方法

获取原文

摘要

The paper proposes a non-intrusive audio based machine learning model based system that enable the near and the dear of the elderly to monitor the elderly in case of any change in the ambient routine. The proposed system intends to alert the near and dear or the pre specified contacts in case of any change in the observed routines through detection of unusual audio; towards this, the audio as received is processed through disaggregation performed by using WSVM to get a better performance. The approach is novel and results found to be promising.
机译:本文提出了一种基于非侵入式音频的机器学习模型为基础的系统,该系统能够在环境例行程序发生任何变化的情况下,对老年人和亲爱的老人进行监视。拟议的系统旨在通过检测异常音频来提醒观察到的例程中发生任何变化的情况,以提醒近亲和亲人或预先指定的联系人;为此,通过使用WSVM执行的分解处理接收到的音频,以获得更好的性能。该方法是新颖的,并且发现结果是有希望的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号