154 citations · 313 across the 14 of their papers we have counts for
24 papers
Voice Conversion-based Privacy through Adversarial Information Hiding
Jacob J Webber, Oliver Watts, Gustav Eje Henter +2
Privacy-preserving voice conversion aims to remove only the attributes of speech audio that convey identity information, keeping other speech characteristics intact. This paper pre…
Fake it to make it: Using synthetic data to remedy the data shortage in joint multimodal speech-and-gesture synthesis
Shivam Mehta, Anna Deichler, Jim O'Regan +4
Although humans engaged in face-to-face conversation simultaneously communicate both verbally and non-verbally, methods for joint and unified synthesis of speech audio and co-speec…
Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks
Cassia Valentini-Botinhao, Manuel Sam Ribeiro, Oliver Watts +2
Automatically predicting the outcome of subjective listening tests is a challenging task. Ratings may vary from person to person even if preferences are consistent across listeners…
Wavebender GAN: An architecture for phonetically meaningful speech manipulation
Gustavo Teodoro Döhler Beck, Ulme Wennberg, Zofia Malisz +1
Deep learning has revolutionised synthetic speech quality. However, it has thus far delivered little value to the speech science community. The new methods do not meet the controll…
Integrated Speech and Gesture Synthesis
Siyang Wang, Simon Alexanderson, Joakim Gustafson +3
Text-to-speech and co-speech gesture synthesis have until now been treated as separate areas by two different research communities, and applications merely stack the two technologi…
Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability
Anubhab Ghosh, Antoine Honoré, Dong Liu +2
In pursuit of explainability, we develop generative models for sequential data. The proposed models provide state-of-the-art classification results and robust performance for speec…