首页> 外文期刊>International Journal of Computer Trends and Technology >Detection of Voiced, Unvoiced and Silence Regions of Assamese Speech by Using Acoustic Features
【24h】

Detection of Voiced, Unvoiced and Silence Regions of Assamese Speech by Using Acoustic Features

机译:利用声学特征检测阿萨姆语语音的发声,无声和无声区域

获取原文
       

摘要

Voiced, Unvoiced and Silence regions are detected by extracting certain information from speech signals. Earlier, Zero crossing and Energy values have been used for this purpose. In this paper, Pitch and MFCC are also calculated from speech signal and used along with zero crossing and energy values to identify Voiced, Unvoiced and Silence region. It is tried to find out which parameter can give best result.
机译:通过从语音信号中提取某些信息来检测有声,无声和无声区域。此前,过零和能量值已用于此目的。在本文中,音调和MFCC也是从语音信号中计算出来的,并与零交叉和能量值一起用于识别有声,无声和无声区域。试图找出哪个参数可以提供最佳结果。

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