Evaluation of speech inversion using an articulatory classifier
Olov Engwall · 2006
Abstract. This paper presents an evaluation method for statistically based speech inversion, in which the estimated vocal tract shapes are classified into phoneme categories based on the articulatory correspondence with prototype vocal tract shapes. The prototypes are created using the original articulatory data and the classifier hence permits to interpret the results of the inversion in terms of, e.g., confusions between different articulations and the success in estimating different places of articulation. The articulatory classifier was used to evaluate acoustic and audiovisual speech inversion of VCV words and Swedish sentences performed with a linear estimation and an artificial neural network. 1.