A new voice source model based on high-speed imaging and its application to voice source estimation
A new voice source model based on high-speed imaging and its application to voice source estimation
复制标题
基于高速成像的新型声源模型及其在声源估计中的应用
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
A. Alwan
中科院分区：
文献类型：
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作者：
Yen;A. Alwan
有许多不同复杂度的模型试图有效地表示语音源信号。这些模型通常基于来自气流面罩、电声门描记器、机械系统和语音信号的逆滤波的数据和观察。本研究的第一部分检查了从喉部的高速成像的观察，并提出了一个新的源模型，这是一个更好的适合所观察到的数据比现有的模型。所提出的源模型，然后在自动源估计应用程序中使用，基于在早期的研究[1]中介绍的方法。平均而言，结果表明，该模型提供了一个更准确的估计源信号相比，Liljencrants-Fant模型。
There are numerous models of varying complexities which seek to efficiently represent the voice source signal. These models are typically based on data and observations which can come from air-flow masks, electroglottographs, mechanical systems, and the inverse-filtering of speech signals. The first part of this study examines observations from the high-speed imaging of the larynx and proposes a new source model, which is shown to provide a better fit for the observed data than existing models. The proposed source model is then used in an automatic source estimation application, based on methods introduced in an earlier study [1]. Results, on average, show that the proposed model provides a more accurate estimation of the source signal compared with the Liljencrants-Fant model.