论文标题
使用自动CHIRP分解的气门来源估计
Glottal Source Estimation using an Automatic Chirp Decomposition
论文作者
论文摘要
在先前的工作中，我们表明可以通过计算Z-Transform（ZZT）的零来从语音信号中估算glottal源。分解是通过将根部内部（因果贡献）和外部（抗疗法贡献）分开的单位圆而实现的。为了确保正确的反卷积，显示出闭合瞬间（GCIS）上的时间对齐是必不可少的。本文通过在可能与单位圆的轮廓上评估Z变换来扩展ZZT的形式主义。提出了通过检查根分布来自动确定该轮廓的方法。基于Chirp Z-Transform（ZCZT）基于chirp的零零，对于GCI位置误差而言，基于ZCZT（ZCZT）的技术更加可靠。
In a previous work, we showed that the glottal source can be estimated from speech signals by computing the Zeros of the Z-Transform (ZZT). Decomposition was achieved by separating the roots inside (causal contribution) and outside (anticausal contribution) the unit circle. In order to guarantee a correct deconvolution, time alignment on the Glottal Closure Instants (GCIs) was shown to be essential. This paper extends the formalism of ZZT by evaluating the Z-transform on a contour possibly different from the unit circle. A method is proposed for determining automatically this contour by inspecting the root distribution. The derived Zeros of the Chirp Z-Transform (ZCZT)-based technique turns out to be much more robust to GCI location errors.
