ISCA Archive SSW 2021
ISCA Archive SSW 2021

Intelligibility and naturalness of articulatory synthesis with VocalTractLab compared to established speech synthesis technologies

Paul Konstantin Krug, Simon Stone, Peter Birkholz

In this work, the current state-of-the-art of articulatory speech synthesis (VOCALTRACTLAB) is compared to a wide range of different text-to-speech systems that once represented or still represent the continuously evolving state-of-the-art of speech synthesis technology. The comparison systems include neural and concatenative synthesis by Google and Microsoft, as well as Hidden Markov Model-based, unit-selection and diphone synthesis developed at universities (using MARYTTS, MBROLA and DRESS). A small corpus of 15 German sentences was synthesized using the text-to-speech (and, if available, re-synthesis) functionalities of each system. The intelligibility of the synthesized utterances was evaluated in an ASR experiment. The naturalness of the utterances was evaluated in a multi-stimulus Likert test by 50 German native speakers. As an additional reference, recordings of natural speech were used in the experiments. It was found that the articulatory synthesis can achieve a performance on par with the non-commercial synthesis systems in terms of intelligibility and naturalness, while being significantly outperformed by the commercial synthesis systems.


doi: 10.21437/SSW.2021-18

Cite as: Krug, P.K., Stone, S., Birkholz, P. (2021) Intelligibility and naturalness of articulatory synthesis with VocalTractLab compared to established speech synthesis technologies. Proc. 11th ISCA Speech Synthesis Workshop (SSW 11), 102-107, doi: 10.21437/SSW.2021-18

@inproceedings{krug21_ssw,
  author={Paul Konstantin Krug and Simon Stone and Peter Birkholz},
  title={{Intelligibility and naturalness of articulatory synthesis with VocalTractLab compared to established speech synthesis technologies}},
  year=2021,
  booktitle={Proc. 11th ISCA Speech Synthesis Workshop (SSW 11)},
  pages={102--107},
  doi={10.21437/SSW.2021-18}
}