首页 | 官方网站   微博 | 高级检索  
     

基于语音分组的基音周期检测方法
引用本文:朱徐来,冯俊. 基于语音分组的基音周期检测方法[J]. 安徽建筑大学学报, 2013, 21(6): 81-82
作者姓名:朱徐来  冯俊
作者单位:安徽建筑大学电子与信息工程学院,安徽合肥,230039;安徽建筑大学电子与信息工程学院,安徽合肥,230039
摘    要:针对语音信号的特点,清音和浊音,清音没有明显的周期性,它类似于高斯白噪声,浊音具有周期性的特征,并且浊音的基音周期只有准周期的特点,另外语音信号是非线性时变的信号,只能采用短时平均方法估计基音周期。针对这些特点,本文对处理的语音信号按照频率进行分组,分组后再进行基音周期的提取,减少了处理的复杂度和增加了准确率。

关 键 词:基音周期  频率  语音信号  自相关

The pitch of the voice packet detection method based on
XU Lai-zhu and FENG Jun. The pitch of the voice packet detection method based on[J]. Journal of Anhui Jianzhu University, 2013, 21(6): 81-82
Authors:XU Lai-zhu and FENG Jun
Affiliation:(Anhui Jianzhu University, Hefei 230039)
Abstract:In this paper, according to the features of speech signals, speech and voiced, unvoiced speech has no obvious periodicity, which is similar to the Gauss white noise, character voiced with pe- riodic, pitch and voicing only quasi-periodic characteristics, the speech signal is nonlinear and time-va- rying, only using the short time average method of pitch estimation. According to these characteris- tics, the speech signal processing are grouped according to the frequency, packet after extraction of pitch period, reduce the processing complexity and increases the accuracy rate.
Keywords:Pitch  Frequency  Speech signal  Autocorrelation
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《安徽建筑大学学报》浏览原始摘要信息
点击此处可从《安徽建筑大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号