Gustav Eje Henter
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Style-Controllable Speech-Driven Gesture Synthesis Using Normalising Flows
S Alexanderson, GE Henter, T Kucherenko, J Beskow
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
GE Henter, S Alexanderson, J Beskow
ACM Transactions on Graphics (TOG) 39 (6), 236:1–236:14, 2020
Gesticulator: A framework for semantically-aware speech-driven gesture generation
T Kucherenko, P Jonell, S van Waveren, GE Henter, S Alexanderson, ...
Proceedings of the ACM International Conference on Multimodal Interaction, 2020
Analyzing input and output representations for speech-driven gesture generation
T Kucherenko, D Hasegawa, GE Henter, N Kaneko, H Kjellström
Proceedings of the 19th ACM International Conference on Intelligent Virtual …, 2019
Adapting and Controlling DNN-based Speech Synthesis Using Input Codes
HT Luong, S Takaki, GE Henter, J Yamagishi
Acoustics, Speech and Signal Processing (ICASSP), IEEE International …, 2017
Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis
J Lorenzo-Trueba, GE Henter, S Takaki, J Yamagishi, Y Morino, Y Ochiai
Speech Communication 99, 135-143, 2018
Speech Synthesis Evaluation—State-of-the-Art Assessment and Suggestion for a Novel Research Program
P Wagner, J Beskow, S Betz, J Edlund, J Gustafson, GE Henter, ...
Proceedings of the 10th Speech Synthesis Workshop (SSW10), 105–110, 2019
From HMMs to DNNs: where do the improvements come from?
O Watts, GE Henter, T Merritt, Z Wu, S King
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
S Alexanderson, R Nagy, J Beskow, GE Henter
ACM Transactions on Graphics (TOG) 42 (4), 44:1-44:20, 2023
A large, crowdsourced evaluation of gesture generation systems on common data: The GENEA Challenge 2020
T Kucherenko, P Jonell, Y Yoon, P Wolfert, GE Henter
Proceedings of the Annual Conference on Intelligent User Interfaces, 2021
Transflower: probabilistic autoregressive dance generation with multimodal attention
G Valle-Pérez, GE Henter, J Beskow, A Holzapfel, PY Oudeyer, ...
ACM Transactions on Graphics (TOG) 40 (6), 1-14, 2021
Are we using enough listeners? No! An empirically-supported critique of Interspeech 2014 TTS evaluations
M Wester, C Valentini-Botinhao, GE Henter
Interspeech 2015, 3476-3480, 2015
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
GE Henter, J Lorenzo-Trueba, X Wang, J Yamagishi
arXiv preprint arXiv:1807.11470, 2018
The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation
Y Yoon, P Wolfert, T Kucherenko, C Viegas, T Nikolov, M Tsakov, ...
Proceedings of the International Conference on Multimodal Interaction (ICMI …, 2022
Let's face it: Probabilistic multi-modal interlocutor-aware generation of facial gestures in dyadic settings
P Jonell, T Kucherenko, GE Henter, J Beskow
Proceedings of the 20th ACM International Conference on Intelligent Virtual …, 2020
Spontaneous conversational speech synthesis from found data
É Székely, GE Henter, J Beskow, J Gustafson
Proc. Interspeech 2019, 4435-4439, 2019
A Comprehensive Review of Data‐Driven Co‐Speech Gesture Generation
S Nyatsanga, T Kucherenko, C Ahuja, GE Henter, M Neff
Computer Graphics Forum 42 (2), 569-596, 2023
Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech
GE Henter, T Merritt, M Shannon, C Mayo, S King
INTERSPEECH 2014 15th Annual Conference of the International Speech …, 2014
Robust TTS duration modelling using DNNs
GE Henter, S Ronanki, O Watts, M Wester, Z Wu, S King
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Principles for Learning Controllable TTS from Annotated and Latent Variation
GE Henter, J Lorenzo-Trueba, X Wang, J Yamagishi
Interspeech, 3956-3960, 2017
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