A novel pitch estimation technique using the Teager energy function
A novel pitch estimation technique using the Teager energy function
复制标题
使用 Teager 能量函数的新颖音调估计技术
DOI：
10.1109/isspa.1999.818131
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
Mohamed Deriche
中科院分区：
文献类型：
--
作者：
N. Abu;Mohamed Deriche
在语音处理中，基于声门闭合实例(GCI)的基音周期估计方法得到了较好的结果。本文提出了一种基于Teager能量函数(TEF)的GCI估计方法。该技术简单，计算量小。该方法基于对每一帧的TEF的峰值检测。然后实施平滑技术来为音调周期挑选正确的值。大量的实验结果表明，该方法的性能优于自相关技术和基于倒谱的方法。
In speech processing, methods based on glottal closure instances (GCI) for pitch period estimation have proven to give good results. We propose here a new method to estimate the GCIs based on the Teager energy function (TEF). The technique is simple and has a low computational load. The method is based on the peak detection of the TEF for each frame. A smoothing technique is then implemented to pick the right value for the pitch period. Intensive experimental results showed that the proposed technique outperforms both the autocorrelation and cepstral based techniques.