Anastasiia Tsukanova - Academia.edu (original) (raw)
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Papers by Anastasiia Tsukanova
This works describes the construction of the articulatory model of the epiglottis from MRI images... more This works describes the construction of the articulatory model of the epiglottis from MRI images. This new model takes into account the influences of the mandible, tongue and larynx via a multi-linear regression applied to the contours of the epiglottis. Once these influences are removed from the contours principle component analysis is applied to the control points of the B-spline representing the centerline of the epiglottis.
This paper uses mediosagittal slices of a static magnetic resonance imaging (MRI) dataset capturi... more This paper uses mediosagittal slices of a static magnetic resonance imaging (MRI) dataset capturing the blocked articulation of vowels and of consonants that anticipate /a, i, u, y/ and a variety of other vowels to study the presence and distinctness of these deliberately taken articu-latory targets in real-time MRI recordings. The study investigates whether such articulatory targets are actually attained in fluent speech, how marked they are, and what factors influence the degree of similarity between a given articulatory target and the actual vocal tract shape. To quantify the similarity, we use structural similarity, Wasserstein distance, and SIFT measure. We analyze the amplitude and timing of the observed similarity peaks across different phonetic classes and speech types (spon-taneous versus not). We show that although real-time speech involves shapes quite similar to the static data, there is a great intra-and inter-speaker variability.
This works describes the construction of the articulatory model of the epiglottis from MRI images... more This works describes the construction of the articulatory model of the epiglottis from MRI images. This new model takes into account the influences of the mandible, tongue and larynx via a multi-linear regression applied to the contours of the epiglottis. Once these influences are removed from the contours principle component analysis is applied to the control points of the B-spline representing the centerline of the epiglottis.
This paper uses mediosagittal slices of a static magnetic resonance imaging (MRI) dataset capturi... more This paper uses mediosagittal slices of a static magnetic resonance imaging (MRI) dataset capturing the blocked articulation of vowels and of consonants that anticipate /a, i, u, y/ and a variety of other vowels to study the presence and distinctness of these deliberately taken articu-latory targets in real-time MRI recordings. The study investigates whether such articulatory targets are actually attained in fluent speech, how marked they are, and what factors influence the degree of similarity between a given articulatory target and the actual vocal tract shape. To quantify the similarity, we use structural similarity, Wasserstein distance, and SIFT measure. We analyze the amplitude and timing of the observed similarity peaks across different phonetic classes and speech types (spon-taneous versus not). We show that although real-time speech involves shapes quite similar to the static data, there is a great intra-and inter-speaker variability.