@InProceedings{Schmidt-Barbo2022_1139,
<br/>   author = {Paul Schmidt-Barbo and Sebastian Otte and Martin V. Butz and R. Harald Baayen and Konstantin Sering},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2022},
<br/>   title = {Using semantic embeddings for initiating and planning articulatory speech synthesis},
<br/>   year = {2022},
<br/>   editor = {Oliver Niebuhr and Malin Svensson Lundmark and Heather Weston},
<br/>   month = mar,
<br/>   pages = {32--42},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {We present a method to both resynthesize and produce speech with the articulatory speech sythesizer VocalTractLab. We extend the recurrent gradientbased motor inference model for speech resynthesis with two generative adversarial networks (GANs). As a result, we are able to synthesize articulatory speech starting from the semantic level with distributed word embedding vector representations from fastText.},
<br/>   isbn = {978-3-95908-548-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Articulatory Synthesis},
<br/>   url = {https://www.essv.de/pdf/2022_32_42.pdf},
<br/>}