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09/11/2023
Diffusion-Based Co-Speech Gesture Generation Using Joint Text and Audio Representation
This paper describes a system developed for the GENEA (Generation and Ev...
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09/06/2023
Matcha-TTS: A fast TTS architecture with conditional flow matching
We introduce Matcha-TTS, a new encoder-decoder architecture for speedy T...
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06/15/2023
Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis
With read-aloud speech synthesis achieving high naturalness scores, ther...
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11/17/2022
Listen, denoise, action! Audio-driven motion synthesis with diffusion models
Diffusion models have experienced a surge of interest as highly expressi...
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11/13/2022
OverFlow: Putting flows on top of neural transducers for better TTS
Neural HMMs are a type of neural transducer recently proposed for sequen...
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09/02/2021
Mechanical Chameleons: Evaluating the effects of a social robot's non-verbal behavior on social influence
In this paper we present a pilot study which investigates how non-verbal...
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08/30/2021
Neural HMMs are all you need (for high-quality attention-free TTS)
Neural sequence-to-sequence TTS has achieved significantly better output...
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08/25/2021
Integrated Speech and Gesture Synthesis
Text-to-speech and co-speech gesture synthesis have until now been treat...
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06/25/2021
Transflower: probabilistic autoregressive dance generation with multimodal attention
Dance requires skillful composition of complex movements that follow rhy...
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01/14/2021
Generating coherent spontaneous speech and gesture from text
Embodied human communication encompasses both verbal (speech) and non-ve...
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09/22/2020
Can we trust online crowdworkers? Comparing online and offline participants in a preference test of virtual agents
Conducting user studies is a crucial component in many scientific fields...
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06/11/2020
Let's face it: Probabilistic multi-modal interlocutor-aware generation of facial gestures in dyadic settings
To enable more natural face-to-face interactions, conversational agents ...
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05/16/2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows
Data-driven modelling and synthesis of motion data is an active research...
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01/30/2019
The effect of a physical robot on vocabulary learning
This study investigates the effect of a physical robot taking the role o...
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11/24/2017
Self-Supervised Vision-Based Detection of the Active Speaker as a Prerequisite for Socially-Aware Language Acquisition
This paper presents a self-supervised method for detecting the active sp...
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09/05/2017
Machine Learning and Social Robotics for Detecting Early Signs of Dementia
This paper presents the EACare project, an ambitious multi-disciplinary ...
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11/16/2012
