A three-dimensional linear articulatory model based on MRI data

P. Badin, G. Bailly, M. Raybaudi, C. Segebarth
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引用次数: 69

Abstract

Based on a set of 3D vocal tract images obtained by MRI, a 3D statistical articulatory model has been built using guided Principal Component Analysis. It constitutes an extension to the lateral dimension of the mid-sagittal model previously developed from a radiofilm recorded on the same subject. The parameters of the 2D model have been found to be good predictors of the 3D shapes, for most configurations. A first evaluation of the model in terms of area functions and formants is presented.
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基于MRI数据的三维线性关节模型
基于MRI获得的一组三维声道图像,利用引导主成分分析方法建立了三维统计发音模型。它构成了先前在同一受试者上记录的放射膜上发展的中矢状面模型的横向维度的延伸。对于大多数结构,二维模型的参数可以很好地预测三维形状。首先对该模型的面积函数和共振峰进行了评价。
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