@InProceedings{Krug2022_1141,
<br/>   author = {Paul Konstantin Krug and Peter Birkholz and Branislav Gerazov and Daniel Rudolph Van Niekerk and Anqi Xu and Yi Xu},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2022},
<br/>   title = {Efficient exploration of articulatory dimensions},
<br/>   year = {2022},
<br/>   editor = {Oliver Niebuhr and Malin Svensson Lundmark and Heather Weston},
<br/>   month = mar,
<br/>   pages = {51--58},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {The key to a successful simulation of speech acquisition with a parametric
articulatory synthesizer lies, inter alia, in the successful exploration of its articulatory
dimensions. However, such an exploration (regardless of the respective
algorithm) may be non-trivial due to the high dimensionality of a modeled vocal
tract and the associated high probability of creating unnatural or humanly impossible
vocal tract shapes. In this work, a method based on principal component
analysis is used to reduce the scope of motor space of the articulatory synthesizer
VOCALTRACTLAB. It is shown that such a technique can be used to increase the
computational efficiency of vocal learning simulations and thus may help to establish
better exploration-based acoustic-to-articulatory-inversion models.},
<br/>   isbn = {978-3-95908-548-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Articulatory Synthesis},
<br/>   url = {https://www.essv.de/pdf/2022_51_58.pdf},
<br/>}