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Found 8 papers, 6 papers with code
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
Large language models (LLMs) have recently received considerable attention as alternative solutions for task planning.
The GENEA Challenge 2023: A large scale evaluation of gesture generation models in monadic and dyadic settings
The effect of the interlocutor is even more subtle, with submitted systems at best performing barely above chance.
Evaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022
For each tier, we evaluated both the human-likeness of the gesture motion and its appropriateness for the specific speech signal.
Co-Speech Gesture Synthesis using Discrete Gesture Token Learning
Synthesizing realistic co-speech gestures is an important and yet unsolved problem for creating believable motions that can drive a humanoid robot to interact and communicate with human users.
The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation
On the other hand, all synthetic motion is found to be vastly less appropriate for the speech than the original motion-capture recordings.
Evaluating the Quality of a Synthesized Motion with the Fréchet Motion Distance
Evaluating the Quality of a Synthesized Motion with the Fr\'echet Motion Distance
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
In this paper, we present an automatic gesture generation model that uses the multimodal context of speech text, audio, and speaker identity to reliably generate gestures.
Ranked #2 on
Gesture Generation
on BEAT
Robots Learn Social Skills: End-to-End Learning of Co-Speech Gesture Generation for Humanoid Robots
Co-speech gestures enhance interaction experiences between humans as well as between humans and robots.
Robotics
