@InProceedings{Sering2022_1140,
author = {Konstantin Sering and Paul Schmidt-Barbo},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2022},
title = {Articubench - An articulatory speech synthesis benchmark},
year = {2022},
editor = {Oliver Niebuhr and Malin Svensson Lundmark and Heather Weston},
month = mar,
pages = {43--50},
publisher = {TUDpress, Dresden},
abstract = {The articubench benchmark is a collection of tasks, datasets and scores
or metrics in the articulatory speech synthesis domain. The benchmark allows the
comparison of different control models for the VocalTractLab speech synthesizer.
Articubench is work in progress with the newest results and comparisons of models
available at https://github.com/quantling/articubench. This publication
states the motivation, goals and rationale behind articubench. Tasks, datasets and
scores are presented.},
isbn = {978-3-95908-548-9},
issn = {0940-6832},
keywords = {Articulatory Synthesis},
url = {https://www.essv.de/pdf/2022_43_50.pdf},
}